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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. 2720
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    Explanations

    questions or statements asking about emotions, reactions, or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of feelings and emotional responses

    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
    clusive
    -0.74
    ceivable
    -0.73
    agin
    -0.69
    auga
    -0.69
    pert
    -0.68
    aturally
    -0.66
    ammy
    -0.66
    ams
    -0.65
    Bot
    -0.64
    lu
    -0.64
    POSITIVE LOGITS
     reacting
    0.84
     fared
    0.80
     regard
    0.77
     reactions
    0.76
     reacts
    0.75
     future
    0.75
     react
    0.75
     reaction
    0.74
     relation
    0.74
     reacted
    0.73
    Activations Density 0.242%

    No Known Activations