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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. 8-RES-JB
    11. 8926
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    INDEX
    Explanations

    phrases indicating contrasting situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    modal and auxiliary verbs indicating obligation or possibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acca
    -0.78
    uction
    -0.74
    arna
    -0.71
    MAT
    -0.69
    undrum
    -0.69
    rongh
    -0.69
    odore
    -0.68
    arettes
    -0.67
    apters
    -0.67
     Verse
    -0.67
    POSITIVE LOGITS
     nonetheless
    1.74
     nevertheless
    1.52
     retaining
    0.95
    etheless
    0.95
     retains
    0.92
     otherwise
    0.89
     alas
    0.89
     still
    0.78
     fortunately
    0.76
     strangely
    0.74
    Activations Density 0.236%

    No Known Activations