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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 277
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    Explanations

    questions or scenarios about potential future events or decisions

    oai_token-act-pair · gpt-3.5-turbo

    conditional scenarios and questions about future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    visors
    -0.70
    ttes
    -0.67
    nown
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    ickr
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    oos
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    cam
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    rers
    -0.64
     reckoned
    -0.63
    akable
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    iom
    -0.63
    POSITIVE LOGITS
    ?:
    0.88
    ?,
    0.79
    ãĤµ
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    ?",
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     fateful
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     wi
    0.61
    /$
    0.60
    rely
    0.60
     viability
    0.59
     RTX
    0.58
    Activations Density 0.334%

    No Known Activations