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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. 15129
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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
     cord
    -0.79
     actionGroup
    -0.72
     ment
    -0.66
     Tomorrow
    -0.66
     worn
    -0.65
     Cooking
    -0.64
     clos
    -0.63
     tentacles
    -0.63
     delayed
    -0.63
    cens
    -0.61
    POSITIVE LOGITS
    fty
    0.84
    kos
    0.81
    eem
    0.80
    GM
    0.77
    VR
    0.72
    efer
    0.71
    cos
    0.71
    ERAL
    0.68
    rium
    0.68
    ESE
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.