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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. 10-RES-JB
    11. 1304
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    Explanations

    adjectives or verbs related to attractiveness or appeal

    oai_token-act-pair · gpt-3.5-turbo

    terms related to attractiveness and appeal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cedented
    -0.83
    bel
    -0.75
    roman
    -0.74
    psons
    -0.71
    miah
    -0.71
    brance
    -0.71
    blance
    -0.71
    stood
    -0.69
     Surv
    -0.68
    icum
    -0.66
    POSITIVE LOGITS
     lure
    1.14
     tempt
    0.99
     enticing
    0.98
     attractive
    0.97
     attract
    0.89
     proposition
    0.87
     irresist
    0.84
     tempting
    0.80
     attractions
    0.79
     lured
    0.79
    Activations Density 0.078%

    No Known Activations