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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. 0-RES-JB
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    Explanations

    mentions of sweat and sweating

    oai_token-act-pair · gpt-3.5-turbo

    references to sweat and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gard
    -0.68
     Termin
    -0.67
     termin
    -0.64
    byn
    -0.64
     Dest
    -0.64
    tt
    -0.63
    nz
    -0.61
    bomb
    -0.60
     Container
    -0.60
    Termin
    -0.59
    POSITIVE LOGITS
     sweat
    4.15
     sweating
    2.23
     sweaty
    1.68
     saliva
    1.49
     pers
    1.40
     moisture
    1.24
     grease
    1.21
     urine
    1.19
     tears
    1.16
     itch
    1.16
    Activations Density 0.025%

    No Known Activations