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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. 2288
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    Explanations

    occasions for public speaking

    oai_token-act-pair · gpt-3.5-turbo

    terms related to formal speeches and presentations

    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
    rug
    -0.66
    roman
    -0.65
    finder
    -0.60
    hound
    -0.59
     Mystic
    -0.58
    gypt
    -0.58
     dup
    -0.58
     Abandon
    -0.57
    rified
    -0.57
    oman
    -0.56
    POSITIVE LOGITS
     keynote
    1.20
     speaker
    1.00
     speakers
    0.89
     speeches
    0.88
    inar
    0.86
     presentations
    0.85
     lectures
    0.80
    gements
    0.79
     attendees
    0.79
     Lect
    0.77
    Activations Density 0.013%

    No Known Activations