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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. 4997
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    Explanations

    words related to a specific football player named Bart, especially focusing on mentions of his name

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Bart" in various contexts

    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
    WARD
    -0.71
    intage
    -0.69
    ulton
    -0.68
    istors
    -0.67
    forms
    -0.64
    gow
    -0.63
    itures
    -0.63
    VEN
    -0.62
    TPPStreamerBot
    -0.61
    iblings
    -0.60
    POSITIVE LOGITS
    ric
    0.95
    olini
    0.86
    rys
    0.85
    lett
    0.84
    enders
    0.82
    lest
    0.80
     Simpson
    0.78
    oken
    0.76
    ram
    0.75
    ending
    0.75
    Activations Density 0.034%

    No Known Activations