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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. 6534
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    INDEX
    Explanations

    mentions of an "audience"

    oai_token-act-pair · gpt-3.5-turbo

    references to an audience

    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
     Ide
    -0.70
    omic
    -0.70
    empt
    -0.67
    phrine
    -0.63
    erald
    -0.62
    idy
    -0.61
    abs
    -0.61
     Agric
    -0.61
    ced
    -0.61
    onto
    -0.57
    POSITIVE LOGITS
     audience
    1.01
     audiences
    0.90
    atics
    0.82
    Reviewer
    0.81
     listeners
    0.77
    atically
    0.77
     tuning
    0.76
    iences
    0.74
    IENCE
    0.73
     laughs
    0.73
    Activations Density 0.014%

    No Known Activations