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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. 13421
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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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    Negative Logits
    ynchronous
    -0.71
    taboola
    -0.67
    eter
    -0.63
     Logged
    -0.63
     Resp
    -0.61
     Rabbit
    -0.61
     "$:/
    -0.60
     Territories
    -0.60
     Detect
    -0.59
     Circuit
    -0.58
    POSITIVE LOGITS
    bia
    0.75
    outed
    0.74
    acist
    0.73
    unal
    0.72
    rosso
    0.70
    ilts
    0.69
    wings
    0.68
    usk
    0.68
    ocious
    0.68
    ffen
    0.68
    Activations Density 0.000%

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