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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. 8-RES-JB
    11. 24413
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    Explanations

    sequences of characters that might represent coding or a specific format, such as hexadecimal values and escape characters

    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters and symbols that likely represent data strings or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.85
    paces
    -0.81
    words
    -0.77
    lehem
    -0.75
    ¶
    -0.74
    ername
    -0.74
    CLASSIFIED
    -0.73
    ospace
    -0.71
    osaurus
    -0.70
    humans
    -0.70
    POSITIVE LOGITS
    Buyable
    0.77
    BuyableInstoreAndOnline
    0.68
    isSpecialOrderable
    0.67
    å¿
    0.65
    rend
    0.65
    aez
    0.63
    é¾įåĸļ士
    0.62
     Zeus
    0.62
    alth
    0.61
    soType
    0.60
    Activations Density 0.119%

    No Known Activations