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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. 21087
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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
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    No Comments

    Negative Logits
    iffs
    -0.72
    igraph
    -0.72
    uates
    -0.68
     strikers
    -0.64
     Mandarin
    -0.62
     Plays
    -0.61
    Morgan
    -0.61
    manship
    -0.60
    amsung
    -0.60
     distressed
    -0.59
    POSITIVE LOGITS
     Obst
    0.83
    ãĥ´
    0.78
    ij
    0.78
    bda
    0.78
    bent
    0.77
    bet
    0.75
    stab
    0.68
    ema
    0.67
    vernment
    0.67
    ð
    0.66
    Activations Density 0.000%

    No Known Activations

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