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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. 1533
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    references to foxes in text

    oai_token-act-pair · gpt-3.5-turbo

    references to foxes

    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
    itutional
    -0.77
    Effective
    -0.69
    Rated
    -0.67
    Interstitial
    -0.67
    $$$$
    -0.66
    affer
    -0.66
    nesium
    -0.65
    arations
    -0.65
    apter
    -0.64
    ADVERTISEMENT
    -0.64
    POSITIVE LOGITS
    es
    0.86
     fox
    0.86
    urnal
    0.81
    hound
    0.81
     squirrel
    0.81
    bat
    0.81
    conn
    0.80
    sey
    0.78
    hole
    0.78
     hunting
    0.77
    Activations Density 0.018%

    No Known Activations