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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10302
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    INDEX
    Explanations

    occurrences related to statements made by individuals to the press

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "reporters" along with associated dialogue or quotes

    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
    tein
    -0.78
    ez
    -0.70
    uras
    -0.69
    inho
    -0.69
    ham
    -0.66
    amic
    -0.65
    ston
    -0.65
    vasive
    -0.64
    cer
    -0.63
    emonic
    -0.63
    POSITIVE LOGITS
     afterward
    0.83
     conference
    0.82
     gathered
    0.82
     reporters
    0.80
     assembled
    0.75
    peak
    0.74
     onstage
    0.74
     briefing
    0.73
    hips
    0.73
     corps
    0.73
    Activations Density 0.030%

    No Known Activations