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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. 1773
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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
    IED
    -0.95
     Codec
    -0.81
    CVE
    -0.80
    iHUD
    -0.79
    Font
    -0.78
    ãĤ´
    -0.73
    soDeliveryDate
    -0.71
    Republic
    -0.71
    ////////////////////////////////
    -0.70
    izoph
    -0.70
    POSITIVE LOGITS
     subst
    0.77
     suspensions
    0.69
     breakdown
    0.68
    xual
    0.65
     chairs
    0.65
    atem
    0.65
     stockp
    0.64
     salads
    0.64
     timelines
    0.64
     genders
    0.63
    Activations Density 0.000%

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    This feature has no known activations.