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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. 8049
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    Explanations

    words related to nutritional information, particularly focusing on calories

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dietary concerns or food intake

    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
     Sent
    -0.72
    anism
    -0.66
    itude
    -0.65
    masters
    -0.64
    jet
    -0.60
     champions
    -0.60
     Lumpur
    -0.60
    nature
    -0.60
     Saudis
    -0.58
     Seed
    -0.56
    POSITIVE LOGITS
    uch
    0.89
    illac
    0.70
    vice
    0.70
    ...)
    0.67
     CLICK
    0.67
    alogy
    0.67
     Alexa
    0.66
    ptive
    0.65
    VPN
    0.64
    SQL
    0.62
    Activations Density 0.000%

    No Known Activations