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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. 7236
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    Explanations

    contradictory statements

    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
    heastern
    -0.79
    itaire
    -0.74
     groove
    -0.73
    utor
    -0.72
     undet
    -0.72
    ocese
    -0.71
    ixture
    -0.69
    ixt
    -0.67
    onite
    -0.66
    isphere
    -0.66
    POSITIVE LOGITS
     implying
    0.96
    Sounds
    0.95
     Meaning
    0.82
     Wrong
    0.78
    Wr
    0.78
     Translation
    0.78
     Sounds
    0.77
     Actually
    0.74
    ALSE
    0.74
     However
    0.74
    Activations Density 0.976%

    No Known Activations