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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. 18191
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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
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    Negative Logits
     Strongh
    -0.81
    steamapps
    -0.76
    BACK
    -0.76
    ellen
    -0.69
    rush
    -0.67
    leans
    -0.67
    trak
    -0.67
    rid
    -0.65
    ingen
    -0.65
    elsius
    -0.64
    POSITIVE LOGITS
     kin
    0.70
    ufact
    0.64
     denomin
    0.62
     Souls
    0.62
     consent
    0.61
     Typh
    0.60
    DragonMagazine
    0.60
     ****
    0.58
     awoken
    0.57
     discs
    0.57
    Activations Density 0.000%

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