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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. 3-RES-JB
    11. 18542
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    Explanations

    multi-core processors

    oai_token-act-pair · gpt-3.5-turbo

    references to multi-core technology in processors

    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
    «ĺ
    -0.69
     overdoses
    -0.68
     sidel
    -0.68
    ufact
    -0.67
    cknowled
    -0.66
    vernment
    -0.66
    TN
    -0.66
    apesh
    -0.64
    acles
    -0.63
    pmwiki
    -0.63
    POSITIVE LOGITS
    core
    1.19
    xit
    1.04
    opsis
    0.89
    lli
    0.80
    rite
    0.80
    tenance
    0.80
    utils
    0.78
    ception
    0.77
    boot
    0.76
    gression
    0.72
    Activations Density 0.007%

    No Known Activations