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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. 2-RES-JB
    11. 1748
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    Explanations

    percentages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of numeric values and percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    folio
    -0.70
    raised
    -0.67
    displayText
    -0.66
    Offline
    -0.62
    microsoft
    -0.62
     à¤
    -0.62
    PAC
    -0.61
    abad
    -0.61
     Metatron
    -0.61
    intent
    -0.61
    POSITIVE LOGITS
    eteen
    1.45
    teen
    1.23
    irteen
    1.14
    ety
    1.10
     Shades
    1.03
     Thousand
    1.01
    Eight
    0.96
    fif
    0.96
    een
    0.96
    ths
    0.95
    Activations Density 0.021%

    No Known Activations