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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. 6376
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    Explanations

    proper nouns, specifically names of historical figures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Winston" and related references

    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
     mileage
    -0.78
    ocre
    -0.74
    onies
    -0.70
    bnb
    -0.69
    dash
    -0.67
    cular
    -0.66
    tone
    -0.66
    ivid
    -0.65
    ateur
    -0.64
    ozyg
    -0.63
    POSITIVE LOGITS
     Churchill
    1.10
     Winston
    1.01
     Peters
    0.83
    ufact
    0.83
    stown
    0.75
    endor
    0.71
     Salem
    0.71
    ji
    0.71
     Oaks
    0.70
     Everett
    0.69
    Activations Density 0.008%

    No Known Activations