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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. 11-RES-JB
    11. 5568
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    INDEX
    Explanations

    mentions of individuals in the context of their work or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    elements related to literary analysis or comparison

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DAQ
    -0.80
    AAF
    -0.78
    CPU
    -0.77
    BTC
    -0.77
    Federal
    -0.77
    Council
    -0.75
    istration
    -0.75
     =>
    -0.74
    Contract
    -0.73
    tesy
    -0.73
    POSITIVE LOGITS
     autobi
    1.24
     Kubrick
    1.21
     Twain
    1.17
     Freud
    1.16
     Hitchcock
    1.15
     Lovecraft
    1.15
     Dickens
    1.13
     literary
    1.13
     Nietzsche
    1.12
     Shakespeare
    1.10
    Activations Density 0.633%

    No Known Activations