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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. 4-RES-JB
    11. 6079
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    Explanations

    words related to actions and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    actions or states related to necessity or requirement

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

    No Comments

    Negative Logits
     Nort
    -0.62
     Misc
    -0.61
     unfit
    -0.61
     peril
    -0.61
     MAP
    -0.57
     Onion
    -0.57
     libel
    -0.56
    atures
    -0.55
     insol
    -0.55
    opian
    -0.55
    POSITIVE LOGITS
    credit
    0.74
    ECK
    0.72
    anz
    0.72
    tein
    0.70
    ECH
    0.69
     acknow
    0.68
     patience
    0.67
    unctions
    0.66
    wered
    0.66
    olars
    0.64
    Activations Density 0.161%

    No Known Activations