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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. 2-RES-JB
    11. 23449
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    Explanations

    logos or instances where logos are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    mentions of logos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    astern
    -0.73
    rough
    -0.71
    mental
    -0.70
    theless
    -0.70
     Lank
    -0.69
    Mand
    -0.69
    uth
    -0.66
    tein
    -0.65
    MENT
    -0.64
    cible
    -0.64
    POSITIVE LOGITS
     logo
    1.17
     logos
    1.12
     Logo
    1.03
     Doodle
    0.89
     slogan
    0.88
     emblem
    0.79
     mascot
    0.78
     badge
    0.77
    matically
    0.73
     trademarks
    0.73
    Activations Density 0.015%

    No Known Activations