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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. 0-RES-JB
    11. 618
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    Explanations

    mentions of logos

    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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mental
    -0.73
    Ļ½
    -0.73
    airs
    -0.69
    aneously
    -0.67
    arsh
    -0.66
     starved
    -0.64
    ervation
    -0.63
     Couch
    -0.63
    etimes
    -0.62
    withstanding
    -0.62
    POSITIVE LOGITS
     logo
    3.84
     logos
    3.01
     Logo
    2.66
     mascot
    2.01
     branding
    1.76
     emblem
    1.75
     insign
    1.62
     slogan
    1.52
     motto
    1.46
     skyline
    1.42
    Activations Density 0.024%

    No Known Activations