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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. 1-RES-JB
    11. 598
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    Explanations

    proper nouns related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names related to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Solitaire
    -0.79
    ably
    -0.73
    OPLE
    -0.72
    arily
    -0.72
    Downloadha
    -0.70
    Anim
    -0.69
    attled
    -0.68
    ationally
    -0.67
    astically
    -0.66
    oreal
    -0.65
    POSITIVE LOGITS
    endi
    0.81
    eners
    0.80
     Fuller
    0.76
    emouth
    0.75
    enda
    0.74
    ringe
    0.74
    ãĥ¼ãĥĨãĤ£
    0.74
    ÑĢ
    0.72
    meier
    0.72
    chwitz
    0.72
    Activations Density 0.023%

    No Known Activations