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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. 3-RES-JB
    11. 1549
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    Explanations

    words associated with correctness or justification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fairness and appropriateness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     clos
    -0.66
    iments
    -0.66
     Alam
    -0.65
     dolls
    -0.65
    ession
    -0.63
     Volunteers
    -0.63
     shirts
    -0.63
    ema
    -0.62
     fertility
    -0.60
     Football
    -0.60
    POSITIVE LOGITS
    ãĤ©
    0.96
     rightfully
    0.95
     deserved
    0.92
     rightly
    0.90
    é¾į
    0.85
    è¯
    0.78
     outweigh
    0.77
    ãĥ£
    0.75
    æĺ¯
    0.74
    eous
    0.73
    Activations Density 0.013%

    No Known Activations