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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. 8-RES-JB
    11. 2140
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    Explanations

    words related to taste and food preferences

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with palatability and digestibility in food contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chance
    -0.70
    PORT
    -0.69
    Source
    -0.65
     Dakota
    -0.64
    MQ
    -0.64
     Sciences
    -0.63
     Arena
    -0.63
     Pyramid
    -0.62
    FX
    -0.62
     Parish
    -0.62
    POSITIVE LOGITS
    bling
    0.91
    bled
    0.90
    ming
    0.87
    aciously
    0.86
    ping
    0.85
    atable
    0.85
    ivery
    0.82
    iously
    0.82
    iage
    0.81
    matically
    0.79
    Activations Density 0.117%

    No Known Activations