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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. 11363
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    Explanations

    names, specifically those of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of specific individuals and characters

    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
    holders
    -0.98
    holder
    -0.73
    itures
    -0.66
    uve
    -0.65
     thirds
    -0.64
    hetically
    -0.63
    worth
    -0.62
     Gingrich
    -0.61
    ndum
    -0.61
    mble
    -0.60
    POSITIVE LOGITS
    ournals
    1.05
    ealous
    1.03
    utsu
    0.94
    upiter
    0.93
    unction
    0.90
    oint
    0.88
    igsaw
    0.88
    ansen
    0.86
    ihad
    0.85
    ordan
    0.80
    Activations Density 0.082%

    No Known Activations