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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
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    references to a specific city named Cologne

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Cologne

    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
     horm
    -0.79
    velength
    -0.76
    ated
    -0.74
    undo
    -0.73
     surv
    -0.73
    ooks
    -0.72
    inelli
    -0.72
    arial
    -0.72
    orses
    -0.71
    ornings
    -0.71
    POSITIVE LOGITS
     WOM
    0.83
    âĹ¼
    0.76
     Cologne
    0.76
    é¾įå¥ij士
    0.74
    chio
    0.74
     Swan
    0.74
    chant
    0.73
    gaard
    0.72
    Charges
    0.72
     Hebdo
    0.71
    Activations Density 0.023%

    No Known Activations