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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. 9569
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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
    Not in Any Lists

    No Comments

    Negative Logits
    edience
    -0.88
    luck
    -0.72
     sqor
    -0.71
     Efficiency
    -0.69
     Luck
    -0.65
    ple
    -0.65
    Spot
    -0.63
     Towards
    -0.63
    ience
    -0.62
     bench
    -0.62
    POSITIVE LOGITS
     Ago
    0.84
     Logged
    0.76
    hered
    0.73
    KING
    0.65
     UKIP
    0.65
    Uk
    0.64
     Ukip
    0.62
    ÄŁ
    0.62
    IDENT
    0.60
    soever
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.