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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. 7-RES-JB
    11. 9556
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    Explanations

    timestamps in the format of hour, colon, minute followed by "a.m." or "p.m."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and references to specific times and timestamps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behav
    -0.74
     Pyr
    -0.64
    iciary
    -0.58
    ebook
    -0.57
     Crus
    -0.57
     stewards
    -0.56
     repaid
    -0.56
    krit
    -0.56
     fixme
    -0.55
     canonical
    -0.54
    POSITIVE LOGITS
     EDT
    0.91
    obiles
    0.89
    .?
    0.88
    .,
    0.86
    noon
    0.83
    obile
    0.80
    endment
    0.79
    aturdays
    0.79
    umbai
    0.78
     EST
    0.77
    Activations Density 0.022%

    No Known Activations