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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. 6194
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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
    udeb
    -0.69
    bread
    -0.66
    advertising
    -0.65
     huh
    -0.64
    *)
    -0.63
    hered
    -0.62
    Lenin
    -0.62
    jar
    -0.62
    Smith
    -0.60
    phabet
    -0.60
    POSITIVE LOGITS
    wake
    0.69
    opa
    0.66
    appa
    0.60
     Polic
    0.60
    olition
    0.60
    oan
    0.60
     Tracks
    0.59
     Guys
    0.59
    ombo
    0.58
    gow
    0.58
    Activations Density 0.000%

    No Known Activations

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