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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. 4-RES-JB
    11. 2120
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    Explanations

    terms related to genetics, biology, and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to psychological and biological patterns and impacts

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

    No Comments

    Negative Logits
    EStreamFrame
    -0.74
    secut
    -0.68
    unte
    -0.67
     swat
    -0.64
    yss
    -0.63
    SN
    -0.62
    nen
    -0.59
     benches
    -0.59
     unwanted
    -0.58
    7601
    -0.58
    POSITIVE LOGITS
    ombat
    0.70
    tones
    0.69
    aeda
    0.68
    ontent
    0.66
    phia
    0.65
    atures
    0.63
    orth
    0.63
    rities
    0.62
    phy
    0.61
    Newsletter
    0.61
    Activations Density 0.749%

    No Known Activations