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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. 7-RES-JB
    11. 14366
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    Explanations

    terms related to written works considered imaginary or not based on reality

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hens
    -0.81
    xon
    -0.75
    baugh
    -0.70
    umm
    -0.69
    gars
    -0.67
    gans
    -0.67
    pid
    -0.66
    rals
    -0.66
    hap
    -0.66
    bred
    -0.65
    POSITIVE LOGITS
     anthology
    1.00
     fiction
    0.96
     novelist
    0.89
     novels
    0.87
     Fiction
    0.86
     Writers
    0.83
    istically
    0.82
     writer
    0.81
     writers
    0.79
    fiction
    0.78
    Activations Density 0.022%

    No Known Activations