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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. 23671
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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
    umbn
    -0.69
    cale
    -0.69
    \/\/
    -0.66
    kins
    -0.66
    peed
    -0.66
    HCR
    -0.64
     knees
    -0.63
     necks
    -0.62
     accord
    -0.60
    ercise
    -0.60
    POSITIVE LOGITS
    advant
    0.65
    utsu
    0.62
    asters
    0.62
     Laf
    0.61
    evil
    0.60
    TE
    0.60
     Kappa
    0.60
    marks
    0.59
    reau
    0.59
    angle
    0.58
    Activations Density 0.000%

    No Known Activations

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