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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. 3-RES-JB
    11. 17252
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    Explanations

    words related to intense or extreme physical or emotional states

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles of verbs

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ascript
    -1.01
    available
    -0.74
    LR
    -0.69
    respect
    -0.69
    afety
    -0.69
     Respond
    -0.69
    ombat
    -0.67
    ère
    -0.67
    ript
    -0.66
    omet
    -0.66
    POSITIVE LOGITS
    tons
    0.90
    LY
    0.85
     heights
    0.84
    NESS
    0.84
     footsteps
    0.80
    ly
    0.80
     horrors
    0.77
     Archdemon
    0.75
     rain
    0.74
     tides
    0.73
    Activations Density 0.121%

    No Known Activations