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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. 3-RES-JB
    11. 2805
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    Explanations

    punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "however."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.70
    ross
    -0.67
    gow
    -0.66
    roy
    -0.63
    atlantic
    -0.63
    ady
    -0.63
    allo
    -0.62
    ond
    -0.62
    zan
    -0.61
    OME
    -0.60
    POSITIVE LOGITS
     albeit
    0.93
     namely
    0.77
     etc
    0.76
    ilation
    0.73
     whether
    0.73
     although
    0.70
     excluding
    0.69
     barring
    0.68
     uh
    0.67
    rongh
    0.66
    Activations Density 0.967%

    No Known Activations