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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. 0-RES-JB
    11. 11412
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     playbook
    -0.78
    orum
    -0.68
    atti
    -0.67
    rpm
    -0.67
    yo
    -0.66
    Media
    -0.65
     PACs
    -0.64
    éĩ
    -0.63
     Leadership
    -0.63
     archives
    -0.61
    POSITIVE LOGITS
    inarily
    0.85
     largeDownload
    0.81
    ilst
    0.75
     unwelcome
    0.74
    arb
    0.73
    perty
    0.68
    isode
    0.67
    iled
    0.65
    phant
    0.65
     ende
    0.65
    Activations Density 0.000%

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