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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. 3850
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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
    educ
    -0.84
    gotten
    -0.76
    quickShipAvailable
    -0.75
    erous
    -0.73
    staking
    -0.71
    Subject
    -0.66
     juven
    -0.66
     separat
    -0.65
    individual
    -0.65
    egal
    -0.65
    POSITIVE LOGITS
     Ceres
    0.73
     TAMADRA
    0.72
    ãĥ¼ãĥ³
    0.68
     Sutherland
    0.66
    fx
    0.64
     Plane
    0.63
     Asuka
    0.62
     Manhattan
    0.62
    icist
    0.61
    Stars
    0.61
    Activations Density 0.000%

    No Known Activations

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