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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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    Explanations

    instances of individuals being described as talented

    oai_token-act-pair · gpt-3.5-turbo

    mentions of talent or skilled individuals

    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
    ptions
    -0.72
    eter
    -0.67
    ciation
    -0.67
    phrine
    -0.66
    FACE
    -0.65
    steps
    -0.65
    thur
    -0.64
    headers
    -0.63
    oths
    -0.62
    ETA
    -0.62
    POSITIVE LOGITS
     talents
    1.03
     talent
    0.95
     minds
    0.90
    heet
    0.86
    smanship
    0.85
    ness
    0.81
     young
    0.80
    lings
    0.79
    nesses
    0.76
     talented
    0.75
    Activations Density 0.015%

    No Known Activations