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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
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "record" in various contexts

    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
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    No Comments

    Negative Logits
    roup
    -0.67
    ita
    -0.64
    yg
    -0.64
    lez
    -0.64
    uana
    -0.64
    gypt
    -0.63
    adies
    -0.63
     Lumpur
    -0.63
     cart
    -0.62
    issan
    -0.62
    POSITIVE LOGITS
     breaker
    0.95
     record
    0.92
     Record
    0.89
    record
    0.80
     records
    0.78
     Records
    0.76
    ©¶æ¥µ
    0.76
    Ĥİ
    0.75
    Record
    0.74
     Breaker
    0.73
    Activations Density 0.019%

    No Known Activations