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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. 11-RES-JB
    11. 17408
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    Explanations

    the word "peak" in various contexts, potentially related to high points or maximum values

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "peak" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.73
    icate
    -0.69
    aves
    -0.68
     subtitles
    -0.66
    signed
    -0.65
    onsense
    -0.64
    orate
    -0.63
    ilage
    -0.63
    olla
    -0.60
    legate
    -0.59
    POSITIVE LOGITS
     hour
    0.73
    waters
    0.70
    phrine
    0.69
     torque
    0.68
    lite
    0.67
     peak
    0.67
     peaks
    0.67
     moment
    0.67
     occupancy
    0.66
     Prosper
    0.65
    Activations Density 0.074%

    No Known Activations