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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. 2641
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    Explanations

    language related to interviews

    oai_token-act-pair · gpt-3.5-turbo

    dialogue and interviews related to various topics and individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.68
    soDeliveryDate
    -0.68
     Haram
    -0.68
     harms
    -0.68
     curs
    -0.66
     subord
    -0.65
     unconstitutional
    -0.65
     constitutionally
    -0.65
    Republican
    -0.65
     Cf
    -0.64
    POSITIVE LOGITS
     candid
    1.21
     discusses
    1.02
     reminis
    1.00
     revealing
    0.97
     reveal
    0.96
     reveals
    0.94
     insightful
    0.93
     insights
    0.93
     insight
    0.92
     explains
    0.92
    Activations Density 0.569%

    No Known Activations