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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. 0-RES-JB
    11. 10433
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     WD
    -0.69
     HT
    -0.67
    rogen
    -0.64
     Resp
    -0.63
    MSN
    -0.61
    ses
    -0.60
    OH
    -0.60
    mson
    -0.60
     dyn
    -0.60
     mem
    -0.58
    POSITIVE LOGITS
    etheless
    0.89
    CLASSIFIED
    0.79
    bestos
    0.76
    picture
    0.68
    olphin
    0.67
    wash
    0.67
    veyard
    0.67
    Fourth
    0.66
    terday
    0.66
     novelist
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.