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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. 9-RES-JB
    11. 19492
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    Explanations

    proper nouns related to German institutions or persons

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the token "<|endoftext|>" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ously
    -0.72
     Runner
    -0.69
    ©¶æ
    -0.64
    erness
    -0.63
    ively
    -0.62
    ers
    -0.61
     miscarriage
    -0.61
    etter
    -0.60
    ed
    -0.60
     Roe
    -0.60
    POSITIVE LOGITS
    pillar
    1.04
    pa
    1.02
    rations
    0.95
    mination
    0.94
    blem
    0.93
    children
    0.92
    TRY
    0.90
    daughter
    0.90
    kids
    0.88
    pas
    0.87
    Activations Density 0.173%

    No Known Activations