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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. 20033
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    Explanations

    pronouns and self-reflective questions

    oai_token-act-pair · gpt-3.5-turbo

    pronouns indicating identity and group dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    isco
    -0.80
    ipeg
    -0.68
    izes
    -0.66
     emerges
    -0.66
     dictates
    -0.66
     lowers
    -0.64
    mares
    -0.64
    bies
    -0.63
     summarizes
    -0.62
    enges
    -0.62
    POSITIVE LOGITS
     supposed
    1.00
     kidding
    0.95
     gonna
    0.94
     going
    0.91
    omorphic
    0.89
     lucky
    0.84
     glad
    0.83
     willing
    0.82
     aware
    0.81
     ready
    0.81
    Activations Density 0.072%

    No Known Activations