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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

    references to food and diet that are perceived as positive in relation to health

    oai_token-act-pair · gpt-3.5-turbo

    references to health and wellness

    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
     angrily
    -0.73
    raped
    -0.72
     swoop
    -0.68
    ariat
    -0.68
    acqu
    -0.66
    gotten
    -0.66
     infamous
    -0.66
    doms
    -0.63
    yi
    -0.62
    inatory
    -0.62
    POSITIVE LOGITS
     isot
    0.93
     dose
    0.83
    iterranean
    0.77
     eater
    0.75
     diet
    0.70
     lifestyles
    0.69
     fats
    0.68
    tarian
    0.67
     healthy
    0.67
     lifestyle
    0.66
    Activations Density 0.014%

    No Known Activations