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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 3794
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    oai_token-act-pair · gpt-3.5-turbo

    symbols or indicators related to formatting or structure in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.69
    emic
    -0.65
    ationally
    -0.64
    rising
    -0.64
    igger
    -0.63
    ring
    -0.62
    agy
    -0.62
    omnia
    -0.61
    cies
    -0.61
    brance
    -0.61
    POSITIVE LOGITS
    ayne
    0.82
     ********************************
    0.75
     Ibid
    0.73
     Siren
    0.68
    Mand
    0.67
     hers
    0.65
     ----------------------------------------------------------------
    0.64
     Wraith
    0.64
     Exam
    0.64
    arette
    0.63
    Activations Density 0.234%

    No Known Activations