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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. 7-RES-JB
    11. 9763
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    Explanations

    names, particularly the name "Joel", and potentially related actions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    the name "Joel" in various contexts within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.87
    hib
    -0.82
    FACE
    -0.78
    omething
    -0.73
    BOOK
    -0.72
    utils
    -0.65
    checks
    -0.64
    role
    -0.64
     parity
    -0.64
    nces
    -0.61
    POSITIVE LOGITS
     McH
    0.92
    lein
    0.91
     Joel
    0.89
    aquin
    0.88
     Wein
    0.87
     Goodman
    0.80
     Dixon
    0.76
    icia
    0.76
     Klein
    0.73
     Kot
    0.73
    Activations Density 0.014%

    No Known Activations