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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. 8718
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    Explanations

    specific references or mentions of an item or situation

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or subjects in legal or formal contexts

    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
     Roose
    -0.88
     Cosponsors
    -0.78
    borgh
    -0.76
     Canaver
    -0.73
    ãĥ©ãĥ³
    -0.72
    ostics
    -0.70
    byss
    -0.68
    adows
    -0.68
    uador
    -0.68
     Loch
    -0.66
    POSITIVE LOGITS
     particular
    1.31
     person
    1.13
     same
    1.03
     entity
    1.01
     organism
    0.96
     information
    0.93
     activity
    0.92
     individual
    0.91
     portion
    0.89
     element
    0.86
    Activations Density 0.204%

    No Known Activations