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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. 7-RES-JB
    11. 384
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    Explanations

    informational phrases and requests

    oai_token-act-pair · gpt-3.5-turbo

    references to personal contributions and opinions in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FML
    -0.70
    zan
    -0.69
    andal
    -0.68
    fort
    -0.68
    iege
    -0.68
    Lago
    -0.68
    arak
    -0.68
    erk
    -0.67
    poke
    -0.67
    geoning
    -0.66
    POSITIVE LOGITS
     details
    1.20
     names
    1.10
     particulars
    1.07
     specifics
    0.99
     coordinates
    0.99
     addresses
    0.97
     thoughts
    0.95
     receipts
    0.93
     outlines
    0.93
     impressions
    0.93
    Activations Density 0.752%

    No Known Activations