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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. 21379
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    Explanations

    proper nouns related to interviews or public statements

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals speaking in formal contexts, such as interviews or statements

    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
    tail
    -0.68
    emis
    -0.65
    hattan
    -0.65
    tails
    -0.61
    geries
    -0.61
     lifes
    -0.61
    iversary
    -0.61
    condition
    -0.60
     THEM
    -0.60
    £
    -0.59
    POSITIVE LOGITS
     revealed
    0.78
     stated
    0.78
     eloqu
    0.78
     insin
    0.74
     quotes
    0.74
     explained
    0.74
     implied
    0.74
     succinct
    0.73
     excerpts
    0.73
     reiterated
    0.73
    Activations Density 0.381%

    No Known Activations