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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. 20607
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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
    paio
    -0.88
    romeda
    -0.77
    uterte
    -0.71
    imoto
    -0.69
    Mah
    -0.68
    gal
    -0.67
    assic
    -0.67
    rang
    -0.67
    raid
    -0.67
    ccoli
    -0.64
    POSITIVE LOGITS
     dilig
    0.78
     Kills
    0.67
    Tokens
    0.64
    ðŁij
    0.62
     TTL
    0.61
     socket
    0.60
    itiz
    0.59
     anchored
    0.58
     Stamp
    0.57
    WARE
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.