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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. 3-RES-JB
    11. 4868
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    guards
    -0.81
     stitches
    -0.78
    achev
    -0.68
    warts
    -0.68
    alg
    -0.66
     trainers
    -0.66
    hester
    -0.64
    knife
    -0.64
     Pathfinder
    -0.61
    years
    -0.60
    POSITIVE LOGITS
    Profile
    0.72
     wat
    0.67
    ividual
    0.67
    Measure
    0.66
    Context
    0.66
     playlist
    0.63
     unlaw
    0.63
    olitical
    0.63
    resent
    0.62
    fu
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.