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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. 3-RES-JB
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    Explanations

    number sequences labeled with "101."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the number "101" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ting
    -0.72
    stood
    -0.72
    gotten
    -0.71
    vati
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    ted
    -0.66
    ty
    -0.63
    igating
    -0.62
    tered
    -0.61
    advert
    -0.61
     Sammy
    -0.60
    POSITIVE LOGITS
    ERC
    0.90
    æ©Ł
    0.85
    BUG
    0.85
    ĨĴ
    0.81
    urious
    0.79
    00000
    0.76
    ãĤĭ
    0.75
    essor
    0.74
    nect
    0.73
    naire
    0.73
    Activations Density 0.015%

    No Known Activations