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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. 4-RES-JB
    11. 9231
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.72
     Hunts
    -0.69
    otomy
    -0.63
    served
    -0.62
    aware
    -0.60
    esm
    -0.60
    reddits
    -0.60
    gregation
    -0.59
    verning
    -0.59
    igans
    -0.59
    POSITIVE LOGITS
    ELS
    0.71
     payday
    0.70
    END
    0.65
    Dam
    0.64
    IDs
    0.63
    ellar
    0.63
    ICE
    0.63
     Gad
    0.62
    EVA
    0.61
     defic
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.