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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. 7018
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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
    Not in Any Lists

    No Comments

    Negative Logits
    istani
    -0.63
     indirect
    -0.63
     interrog
    -0.62
     narr
    -0.61
    ãĥŃ
    -0.60
    anca
    -0.60
     swear
    -0.59
     compliment
    -0.59
    RECT
    -0.58
     offence
    -0.57
    POSITIVE LOGITS
    phia
    0.79
     Ridge
    0.73
    utters
    0.70
    Score
    0.65
     Lauder
    0.64
     Miner
    0.64
    rique
    0.63
    peria
    0.62
    racuse
    0.62
     Afric
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.