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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. 5064
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    Explanations

    mentions of the work of individuals or groups in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the "work of" various individuals or groups

    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
     pestic
    -0.74
    /"
    -0.73
    fml
    -0.71
    obyl
    -0.71
    puter
    -0.70
    anguage
    -0.68
    igun
    -0.66
    vana
    -0.66
    ashtra
    -0.66
    ibble
    -0.65
    POSITIVE LOGITS
     Nanto
    0.82
     those
    0.73
     others
    0.72
     smugglers
    0.72
     Akin
    0.69
     countless
    0.69
     individuals
    0.68
     Sections
    0.67
     politicians
    0.65
     fellow
    0.65
    Activations Density 0.250%

    No Known Activations