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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. 2-RES-JB
    11. 7343
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    INDEX
    Explanations

    ingredients and cooking instructions in recipes

    oai_token-act-pair · gpt-3.5-turbo

    references to dried food ingredients and drying processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rouse
    -0.75
    leading
    -0.70
    rium
    -0.69
    arsity
    -0.68
    cept
    -0.67
    ppard
    -0.66
    umbn
    -0.66
     justices
    -0.65
    ordan
    -0.65
    stood
    -0.62
    POSITIVE LOGITS
    ãģ®éŃĶ
    0.79
     dried
    0.78
     exting
    0.73
     fruits
    0.72
     apr
    0.71
    icated
    0.70
     drying
    0.70
    adoes
    0.70
    netflix
    0.69
     fruit
    0.69
    Activations Density 0.015%

    No Known Activations