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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. 3-RES-JB
    11. 6435
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sid
    -0.79
    DEM
    -0.69
    UGH
    -0.68
    ullivan
    -0.67
    ondon
    -0.66
    ONS
    -0.65
    aires
    -0.64
    IR
    -0.64
     SAL
    -0.64
    Morning
    -0.63
    POSITIVE LOGITS
    abbit
    0.74
     guid
    0.67
    uncture
    0.66
     Logged
    0.63
     Later
    0.63
     Bullets
    0.62
    seless
    0.61
    agonist
    0.60
    terday
    0.59
     Written
    0.59
    Activations Density 0.000%

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    This feature has no known activations.