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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. 24077
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    Explanations

    words related to concentration or intensity

    oai_token-act-pair · gpt-3.5-turbo

    words related to concentration or density

    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
    chev
    -0.72
    agara
    -0.67
     labels
    -0.66
     autonom
    -0.66
     entitle
    -0.66
    \/\/
    -0.64
     adrenaline
    -0.62
    ItemThumbnailImage
    -0.61
     hem
    -0.60
     insecurity
    -0.60
    POSITIVE LOGITS
    enment
    0.95
    ciating
    0.93
    nces
    0.88
    ctions
    0.88
    rences
    0.85
    uration
    0.81
    cius
    0.80
    cession
    0.79
    UCT
    0.78
    ilial
    0.78
    Activations Density 0.079%

    No Known Activations