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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. 13242
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    Explanations

    words related to specific geographic locations, potentially focused on Ukraine

    oai_token-act-pair · gpt-3.5-turbo

    references to the Kua dialect

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    bread
    -0.72
    Catal
    -0.67
    cube
    -0.67
    ticket
    -0.63
    kid
    -0.62
    reads
    -0.62
    deck
    -0.61
    stem
    -0.61
    sheet
    -0.61
     CBI
    -0.60
    POSITIVE LOGITS
    ð
    1.07
    cci
    0.99
    ñ
    0.97
    ua
    0.92
    ignt
    0.89
    veland
    0.89
    zza
    0.88
    velength
    0.86
    ño
    0.85
    zzi
    0.84
    Activations Density 0.005%

    No Known Activations