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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. 7182
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    INDEX
    Explanations

    adverbs or adjectives intensifying specific qualities or conditions

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that emphasize extremity or distinctiveness

    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
    arta
    -0.79
    elsen
    -0.76
    agents
    -0.76
    ramid
    -0.73
    olan
    -0.72
    chens
    -0.71
    seller
    -0.67
    ulators
    -0.66
    ests
    -0.65
     Provision
    -0.65
    POSITIVE LOGITS
     silly
    0.80
     awkward
    0.77
     unpleasant
    0.76
     Jagu
    0.75
    risome
    0.75
     pleasant
    0.73
     uncomfortable
    0.73
     naughty
    0.73
     chilly
    0.71
     tricky
    0.71
    Activations Density 0.015%

    No Known Activations