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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. 22254
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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
    Downloadha
    -0.92
    hap
    -0.78
     contrace
    -0.76
    idth
    -0.70
    izable
    -0.68
     awa
    -0.67
     *)
    -0.66
    atility
    -0.66
     Capture
    -0.66
    gger
    -0.66
    POSITIVE LOGITS
    alogue
    0.74
    ogene
    0.69
    iov
    0.68
    wcsstore
    0.68
    species
    0.66
    language
    0.64
    ologies
    0.63
    ansas
    0.63
    bern
    0.62
     patrons
    0.62
    Activations Density 0.000%

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