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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 14638
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    Explanations

    adverbs indicating frequency

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating frequency or repetition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    yon
    -0.66
     SX
    -0.65
    grades
    -0.65
    grading
    -0.64
    changed
    -0.62
    GN
    -0.61
    better
    -0.59
    yg
    -0.59
    enburg
    -0.58
    blind
    -0.58
    POSITIVE LOGITS
    nesday
    0.75
     ever
    0.68
    thens
    0.67
    cture
    0.67
    ĩ
    0.65
     imaginable
    0.63
    imes
    0.63
    ļé
    0.63
     EVER
    0.63
    ounter
    0.63
    Activations Density 0.190%

    No Known Activations