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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. 1-RES-JB
    11. 6974
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ¯
    -0.66
    vp
    -0.62
    lander
    -0.61
     newsp
    -0.61
    agent
    -0.60
    ables
    -0.60
    ALS
    -0.59
     Dying
    -0.59
    enne
    -0.58
     ',
    -0.58
    POSITIVE LOGITS
    otos
    0.75
    fts
    0.72
     Moonlight
    0.70
     Ratio
    0.68
    umbs
    0.67
     Fiat
    0.67
     Niagara
    0.65
    toe
    0.64
     sands
    0.64
     TAM
    0.62
    Activations Density 0.000%

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