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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. 1912
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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
    ãĤ´ãĥ³
    -0.80
    nesday
    -0.75
    orah
    -0.74
    kos
    -0.73
    nir
    -0.73
    hovah
    -0.70
    nai
    -0.70
    arers
    -0.70
    ãĥĥãĥī
    -0.69
    kefeller
    -0.69
    POSITIVE LOGITS
    anova
    0.77
    ives
    0.66
    crit
    0.64
    udi
    0.62
     Lust
    0.59
     EP
    0.59
    pects
    0.58
    usive
    0.58
     Chaff
    0.57
     escapes
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.