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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. 23244
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    Explanations

    references to roles or models, especially emphasizing individuals as positive examples

    oai_token-act-pair · gpt-3.5-turbo

    references to role models and their impact or significance

    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
    anty
    -0.71
     ILCS
    -0.71
    ashtra
    -0.70
    jing
    -0.69
    Pict
    -0.66
     pains
    -0.66
    jab
    -0.62
    Mill
    -0.61
    brew
    -0.61
     Pavilion
    -0.60
    POSITIVE LOGITS
    thood
    0.72
     lia
    0.66
    tein
    0.65
     influence
    0.64
    awaru
    0.64
     regulating
    0.64
    ä¸ī
    0.63
     determining
    0.62
     sabotage
    0.62
     governance
    0.61
    Activations Density 0.216%

    No Known Activations