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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. 1-RES-JB
    11. 22692
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    INDEX
    Explanations

    quotes and references in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "vote" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     landfall
    -0.73
     sediment
    -0.72
     dissolution
    -0.72
     Upton
    -0.63
    hold
    -0.63
     peace
    -0.63
     Faust
    -0.62
     submerged
    -0.61
     cliff
    -0.60
     restitution
    -0.59
    POSITIVE LOGITS
    otes
    1.19
    oting
    1.11
    OTE
    0.88
    wana
    0.83
    oted
    0.82
    tsky
    0.80
    rius
    0.78
    aeda
    0.78
    ribe
    0.78
    ague
    0.77
    Activations Density 0.009%

    No Known Activations