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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. 9417
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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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    Negative Logits
     Rats
    -0.74
    ©¶æ
    -0.73
     Hayward
    -0.70
     Antar
    -0.66
     Centauri
    -0.65
    thia
    -0.64
    acs
    -0.64
     Diary
    -0.64
    fulness
    -0.64
     Edinburgh
    -0.63
    POSITIVE LOGITS
    are
    1.36
    ATA
    0.79
    ARE
    0.76
    have
    0.74
    can
    0.73
    éļ
    0.73
    ERE
    0.72
    çIJ
    0.71
    hire
    0.70
    accompan
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.