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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. 0-RES-JB
    11. 9841
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥīãĥ©
    -0.73
    issance
    -0.66
    İĭ
    -0.62
    ãĥķ
    -0.62
     Minotaur
    -0.61
    ãĥĺ
    -0.61
     downtime
    -0.59
    Ń·
    -0.59
    ijn
    -0.58
    ĩ
    -0.57
    POSITIVE LOGITS
    phabet
    0.76
    lins
    0.73
    alde
    0.73
    weights
    0.73
    bet
    0.70
    bys
    0.69
    FORE
    0.68
    agonists
    0.64
    ln
    0.64
    iour
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.