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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. 7-RES-JB
    11. 14301
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izable
    -0.72
    IDENT
    -0.70
    ],"
    -0.65
    urry
    -0.63
    ieth
    -0.62
    tarian
    -0.62
    verse
    -0.62
    ive
    -0.62
     wishes
    -0.61
    ãĢı
    -0.60
    POSITIVE LOGITS
     meanwhile
    1.39
     likewise
    1.25
     also
    1.17
     therefore
    1.04
     furthermore
    0.93
     moreover
    0.90
     similarly
    0.89
     additionally
    0.86
     unaffected
    0.86
     however
    0.85
    Activations Density 0.429%

    No Known Activations