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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. 7-RES-JB
    11. 14635
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    Explanations

    names that contain the pattern "Rod" followed by a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reckoning
    -0.83
     transient
    -0.74
    jriwal
    -0.71
    ĸļ
    -0.69
    merce
    -0.64
     footing
    -0.63
     hourly
    -0.62
     continents
    -0.61
    Downloadha
    -0.61
     fractions
    -0.60
    POSITIVE LOGITS
    ulo
    0.89
    zona
    0.89
    INAL
    0.88
    otti
    0.83
    chio
    0.82
    oli
    0.80
    elli
    0.79
    ino
    0.79
    andise
    0.78
    ello
    0.77
    Activations Density 0.251%

    No Known Activations