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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. 6-RES-JB
    11. 1507
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    Explanations

    adverbs emphasizing the degree or intensity of something

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers that emphasize the degree of an adjective or adverb

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achus
    -0.78
    acus
    -0.74
    iture
    -0.73
    itures
    -0.72
    bryce
    -0.71
    anship
    -0.68
    Public
    -0.68
    911
    -0.67
    ktop
    -0.66
    577
    -0.65
    POSITIVE LOGITS
     unlaw
    0.64
    doors
    0.63
     transact
    0.61
    âĢ¢âĢ¢
    0.60
    uminium
    0.59
     rad
    0.56
     puberty
    0.56
     istg
    0.55
     fucked
    0.55
    different
    0.54
    Activations Density 0.091%

    No Known Activations