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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. 10986
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    INDEX
    Explanations

    descriptions of various types of things or phenomena

    oai_token-act-pair · gpt-3.5-turbo

    references to different types or categories of behavior, incidents, or experiences

    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
    asonic
    -0.63
    gov
    -0.62
    hoff
    -0.61
    veh
    -0.61
    roy
    -0.60
    erg
    -0.58
     unspecified
    -0.58
    ten
    -0.58
    zar
    -0.58
     onwards
    -0.58
    POSITIVE LOGITS
    yip
    0.93
     nightmares
    0.88
     envy
    0.79
     ordinarily
    0.73
    uman
    0.72
     nightmare
    0.69
     attracts
    0.67
     normally
    0.67
    veyard
    0.64
    umbn
    0.64
    Activations Density 0.134%

    No Known Activations