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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. 19190
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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
    *:
    -0.77
    LD
    -0.77
    DOC
    -0.75
    HP
    -0.74
    acent
    -0.71
    DOWN
    -0.70
    ––
    -0.69
    GO
    -0.68
    MX
    -0.66
     subp
    -0.66
    POSITIVE LOGITS
     divers
    0.69
    lando
    0.66
     Rapids
    0.64
     Sabres
    0.62
    abwe
    0.61
    combe
    0.60
     Nirvana
    0.59
    illus
    0.59
     goalkeeper
    0.59
     organis
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.