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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. 6-RES-JB
    11. 7171
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    Explanations

    phrases indicating a summarization or conclusion

    oai_token-act-pair · gpt-3.5-turbo

    phrases asserting that something is fundamentally true or simplistic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.76
     Oaks
    -0.73
     Ced
    -0.72
    Tickets
    -0.70
    yer
    -0.69
    Ey
    -0.68
    Others
    -0.66
    aley
    -0.65
    yi
    -0.64
    acity
    -0.63
    POSITIVE LOGITS
     worthless
    0.85
     useless
    0.78
     unus
    0.76
     lifeless
    0.76
     boils
    0.72
     meaningless
    0.72
    strate
    0.72
    unin
    0.71
     unchanged
    0.70
     harmless
    0.67
    Activations Density 0.024%

    No Known Activations