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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. 8967
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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
    stal
    -0.77
    agna
    -0.72
    ciating
    -0.70
     arrog
    -0.66
    graded
    -0.62
    wives
    -0.61
    wh
    -0.59
     estranged
    -0.58
     pellets
    -0.58
     trib
    -0.58
    POSITIVE LOGITS
    rain
    0.85
    ocus
    0.72
    TION
    0.69
    Ãį
    0.69
    Cooldown
    0.69
    naire
    0.69
    âĨij
    0.64
    ARK
    0.64
     Zot
    0.64
    ¶
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.