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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. 4-RES-JB
    11. 11398
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    Explanations

    words related to specific social groups or populations, particularly emphasizing black and transgender individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to marginalized groups, particularly focusing on black and transgender people

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

    No Comments

    Negative Logits
    yss
    -0.86
    PASS
    -0.71
    UMP
    -0.69
    Nut
    -0.67
    HL
    -0.66
    USS
    -0.65
    NI
    -0.65
    Ton
    -0.63
    YN
    -0.63
    Hig
    -0.63
    POSITIVE LOGITS
    arettes
    0.82
    paces
    0.82
    ervatives
    0.80
     who
    0.79
    kees
    0.78
    arna
    0.76
    atics
    0.76
    wana
    0.76
    aurus
    0.75
    folk
    0.74
    Activations Density 0.122%

    No Known Activations