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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. 17956
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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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    Negative Logits
    href
    -0.70
    acters
    -0.69
     helicop
    -0.64
     CLS
    -0.63
     undone
    -0.63
     GEAR
    -0.60
    peed
    -0.60
     Miko
    -0.59
    iquette
    -0.59
     gravity
    -0.59
    POSITIVE LOGITS
    obyl
    0.73
    ramid
    0.71
    cooked
    0.67
    abwe
    0.65
    deen
    0.65
    zie
    0.64
    ilage
    0.64
     allowance
    0.63
    atem
    0.62
    Appearance
    0.62
    Activations Density 0.000%

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