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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. 9-RES-JB
    11. 6141
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Interstitial
    -0.77
    Ô
    -0.72
    ayn
    -0.71
    sylv
    -0.66
    REDACTED
    -0.66
    Likewise
    -0.64
    anooga
    -0.64
    ãĢģ
    -0.63
    ãĢĤ
    -0.61
    gyn
    -0.61
    POSITIVE LOGITS
     Canaver
    0.65
     Fifa
    0.59
    Publisher
    0.56
     Deadline
    0.53
     printing
    0.52
     POLITICO
    0.52
     referee
    0.52
     Stub
    0.51
     Transparency
    0.51
     telescope
    0.51
    Activations Density 1.635%

    No Known Activations