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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. 1586
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    INDEX
    Explanations

    mentions of authority figures such as government, professors, or critics

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions particularly the word "and."

    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
    zar
    -0.72
    cheon
    -0.71
    aldo
    -0.71
    FML
    -0.68
    js
    -0.64
    jit
    -0.63
     bumped
    -0.63
    Redditor
    -0.63
    fur
    -0.62
     Saying
    -0.62
    POSITIVE LOGITS
     assorted
    0.95
     possibly
    0.87
    ospace
    0.77
     etc
    0.71
     others
    0.69
     downright
    0.67
    etc
    0.65
     other
    0.65
     yes
    0.64
     consequently
    0.64
    Activations Density 0.162%

    No Known Activations