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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. 2-RES-JB
    11. 6959
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    Explanations

    specific patterns consisting of dash characters

    oai_token-act-pair · gpt-3.5-turbo

    formatting indicators or separators in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gi
    -0.67
     Bird
    -0.65
    atum
    -0.65
    igation
    -0.64
     Wiggins
    -0.63
     repl
    -0.62
    ffiti
    -0.61
    atures
    -0.61
     precaution
    -0.60
    reen
    -0.60
    POSITIVE LOGITS
    enhagen
    0.88
    ————
    0.83
    _-
    0.78
     ---------
    0.76
     ---
    0.76
    ĸļ
    0.75
    —-
    0.73
    -------
    0.70
    ------
    0.69
    DOWN
    0.67
    Activations Density 0.012%

    No Known Activations