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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. 6-RES-JB
    11. 11827
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    Explanations

    the acronym "Da" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Da" and its variations within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -1.13
    ãĤ¡
    -0.83
    LESS
    -0.82
    sburg
    -0.76
    ORED
    -0.76
    lessly
    -0.75
    ship
    -0.75
    MENT
    -0.73
    ï¸ı
    -0.72
    ships
    -0.71
    POSITIVE LOGITS
    isy
    1.15
    ft
    1.08
    pling
    0.94
    emon
    0.94
    fts
    0.89
    uman
    0.86
    ivari
    0.85
    emonic
    0.85
    qu
    0.83
    uthor
    0.83
    Activations Density 0.014%

    No Known Activations