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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. 4-RES-JB
    11. 20561
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    Explanations

    phrases indicating a continuation or extension of a topic

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "matter" or significant issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sbm
    -0.81
    kered
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    omas
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     Jed
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    ardo
    -0.64
    ãĥ³ãĤ¸
    -0.64
    ahime
    -0.63
    Constructed
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     sevent
    -0.60
     pse
    -0.60
    POSITIVE LOGITS
    ional
    0.89
    enance
    0.83
    awei
    0.73
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    0.70
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    0.70
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    £ı
    0.68
    warts
    0.67
    abetic
    0.66
    usercontent
    0.65
    Activations Density 0.006%

    No Known Activations