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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. 9016
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    Explanations

    questions or statements posing a specific issue or dilemma

    oai_token-act-pair · gpt-3.5-turbo

    questions in the text

    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
    ventures
    -0.73
     parap
    -0.68
    cit
    -0.63
    reau
    -0.60
    olor
    -0.60
    ideos
    -0.58
    ucl
    -0.58
     Vide
    -0.58
     agre
    -0.57
    ched
    -0.57
    POSITIVE LOGITS
     whether
    1.25
     why
    1.01
    whether
    1.01
     how
    0.96
     WHY
    0.95
     posed
    0.83
    why
    0.81
     moot
    0.81
     answered
    0.80
     arises
    0.75
    Activations Density 0.088%

    No Known Activations