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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. 8-RES-JB
    11. 10152
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    INDEX
    Explanations

    numbers and score-related terms in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    references to scores and statistical data in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancial
    -0.66
    grain
    -0.63
    vic
    -0.61
    ilver
    -0.61
    stock
    -0.58
    lain
    -0.58
     Peterson
    -0.58
     retina
    -0.58
     Univers
    -0.57
    anos
    -0.57
    POSITIVE LOGITS
    xual
    1.02
    dden
    0.77
    ctr
    0.73
    uates
    0.70
    EMENT
    0.69
    igated
    0.69
    \\\\\\\\
    0.69
    =\"
    0.68
    ////////////////
    0.66
    edes
    0.64
    Activations Density 0.117%

    No Known Activations