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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. 23855
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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
    resp
    -0.65
     parsing
    -0.64
    sylv
    -0.63
    vier
    -0.62
     newsp
    -0.62
     guessing
    -0.62
     handling
    -0.61
    eyed
    -0.61
    eva
    -0.61
    ASC
    -0.60
    POSITIVE LOGITS
    alde
    0.70
    posure
    0.69
    uku
    0.68
     "$:/
    0.67
    ahu
    0.66
     Headquarters
    0.64
    plex
    0.63
    olation
    0.63
    tesy
    0.63
    sten
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.