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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. 8-RES-JB
    11. 24092
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to geographic or ecological topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     earnest
    -0.66
     conflic
    -0.65
    ifully
    -0.62
     notor
    -0.59
    )."
    -0.59
    bably
    -0.59
     disg
    -0.58
     undermin
    -0.58
     disarm
    -0.57
     proport
    -0.55
    POSITIVE LOGITS
    ¶
    0.99
    ?:
    0.99
     Edit
    0.83
     Allows
    0.81
    ':
    0.81
    ↵
    0.80
    ?
    0.78
     =================
    0.76
    .--
    0.76
    '?
    0.73
    Activations Density 0.859%

    No Known Activations