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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. 8-RES-JB
    11. 10429
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    Explanations

    adjectives describing the quality or characteristics of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating imperfections or nuanced evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lyons
    -0.63
     Windsor
    -0.62
     Milton
    -0.56
     absentee
    -0.56
     Dover
    -0.56
     Huntington
    -0.54
     Hond
    -0.54
     Howell
    -0.53
     Hammond
    -0.52
     Nicholson
    -0.52
    POSITIVE LOGITS
    [/
    1.09
    </
    0.98
     [/
    0.96
    âĢ
    0.89
    )</
    0.89
     ðŁij
    0.88
     ;)
    0.83
    âĿ
    0.82
    âĺ
    0.82
    îĢ
    0.81
    Activations Density 2.004%

    No Known Activations