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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. 19237
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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
     appell
    -0.90
    eworld
    -0.73
    tein
    -0.70
    esp
    -0.68
    iffe
    -0.68
     haun
    -0.67
    <?
    -0.67
     inequalities
    -0.66
    Pub
    -0.66
     redress
    -0.65
    POSITIVE LOGITS
    orio
    0.82
    ierrez
    0.76
    uid
    0.75
    ocumented
    0.69
    odiac
    0.68
    ullivan
    0.67
    dullah
    0.66
    miah
    0.64
    urat
    0.64
    anship
    0.64
    Activations Density 0.000%

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