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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. 2-RES-JB
    11. 14768
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     masc
    -0.69
     Lac
    -0.67
     Cham
    -0.67
     itching
    -0.65
     merc
    -0.64
     tac
    -0.62
     PF
    -0.62
    mol
    -0.62
     Merc
    -0.61
     scratch
    -0.60
    POSITIVE LOGITS
    uti
    0.86
    verning
    0.81
    reys
    0.78
    ND
    0.74
    entin
    0.74
    story
    0.73
    BLIC
    0.72
    rio
    0.72
    unda
    0.70
    uto
    0.70
    Activations Density 0.000%

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