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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. 2-RES-JB
    11. 8344
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     seiz
    -0.72
    ieg
    -0.72
    aith
    -0.68
     IMAGES
    -0.68
     WARN
    -0.65
    abor
    -0.64
    asers
    -0.64
    iquid
    -0.64
    aus
    -0.64
    itting
    -0.63
    POSITIVE LOGITS
    stals
    0.71
    WF
    0.69
    rin
    0.65
     Faw
    0.63
    stal
    0.63
    PF
    0.62
    âĶģ
    0.61
     insanity
    0.59
    ochond
    0.59
    %:
    0.59
    Activations Density 0.000%

    No Known Activations

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