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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. 3-RES-JB
    11. 16941
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    Explanations

    terms related to places or events that draw attention or interest

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attraction" and its variations, indicating a focus on themes related to tourist attractions or appeal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    monds
    -0.71
    nia
    -0.71
    glas
    -0.71
    krit
    -0.71
    ells
    -0.70
    м
    -0.69
    ordan
    -0.69
    stood
    -0.67
    cham
    -0.67
    gans
    -0.67
    POSITIVE LOGITS
     attraction
    1.52
     attractions
    1.31
    ĸļ
    0.90
     Flavoring
    0.83
     attracts
    0.75
     lure
    0.74
    inson
    0.71
    apore
    0.70
     magnet
    0.68
    rers
    0.67
    Activations Density 0.006%

    No Known Activations