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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. 7956
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    Explanations

    keywords related to giving presentations or reports

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "presented" and related forms

    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
    ï¸ı
    -0.71
    leen
    -0.67
     msec
    -0.65
    meter
    -0.64
    kowski
    -0.64
    hene
    -0.64
    tery
    -0.63
    leans
    -0.63
    lez
    -0.62
    doms
    -0.62
    POSITIVE LOGITS
     Present
    0.83
     presentations
    0.82
    icts
    0.79
    eering
    0.74
     slides
    0.72
     presents
    0.71
    encing
    0.71
    Present
    0.71
    ICT
    0.71
    entary
    0.70
    Activations Density 0.046%

    No Known Activations