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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. 4589
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ubs
    -0.80
    ĪĴ
    -0.77
    reddits
    -0.74
    é¾įåĸļ士
    -0.73
    growth
    -0.72
    Arcade
    -0.71
    ãĥ¯ãĥ³
    -0.71
    ellen
    -0.70
    eatures
    -0.69
    moil
    -0.69
    POSITIVE LOGITS
     hypothetical
    0.74
     nib
    0.70
     Sage
    0.66
    ational
    0.65
     open
    0.64
     proposition
    0.61
     scenario
    0.59
     Nib
    0.57
     regress
    0.57
     assume
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.