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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. 13997
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    Explanations

    color-related terms

    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
    doms
    -1.10
    _-
    -0.93
    uthor
    -0.82
    idem
    -0.80
    olicy
    -0.79
    rolet
    -0.75
    kson
    -0.70
    isSpecialOrderable
    -0.70
    yu
    -0.69
    OTAL
    -0.68
    POSITIVE LOGITS
    blind
    1.09
     palette
    1.06
     coded
    0.91
    ="#
    0.91
    anguage
    0.86
     Spray
    0.84
    less
    0.82
    pill
    0.80
    color
    0.80
    osity
    0.80
    Activations Density 0.040%

    No Known Activations