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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. 23224
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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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    No Comments

    Negative Logits
    chan
    -0.70
    anson
    -0.68
    kan
    -0.68
    spect
    -0.67
    "},"
    -0.67
    culation
    -0.65
    illac
    -0.65
    paragraph
    -0.64
    stone
    -0.64
    mination
    -0.63
    POSITIVE LOGITS
     affili
    0.64
    VS
    0.63
    endor
    0.61
    atis
    0.61
    ALS
    0.60
     awa
    0.59
     noses
    0.58
     FTC
    0.58
     tresp
    0.57
     HH
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.