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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. 4711
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    Explanations

    words related to late-night activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to late-night events or activities

    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
    achev
    -1.02
    berman
    -0.82
    qqa
    -0.69
    EStream
    -0.68
     Cosponsors
    -0.66
    bard
    -0.66
    Filename
    -0.65
    GER
    -0.64
    ename
    -0.64
    inates
    -0.63
    POSITIVE LOGITS
    mares
    1.22
    mare
    1.02
    night
    0.98
    urnal
    0.91
    bird
    0.84
    lies
    0.81
    endment
    0.77
    ly
    0.76
    lihood
    0.74
     Nights
    0.73
    Activations Density 0.014%

    No Known Activations