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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. 9-RES-JB
    11. 16201
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    Explanations

    information related to events and statements made during press conferences, interviews, and speeches

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rils
    -0.76
     aven
    -0.70
    coins
    -0.69
     experimented
    -0.68
    Ingredients
    -0.65
     constructs
    -0.64
    inson
    -0.63
     heirs
    -0.63
    faces
    -0.63
     proportions
    -0.62
    POSITIVE LOGITS
     rally
    1.06
     meeting
    1.05
     presentation
    1.04
     seminar
    1.04
     visit
    1.03
     demonstration
    1.02
     lecture
    1.00
     ceremony
    0.99
     gathering
    0.97
     session
    0.97
    Activations Density 0.147%

    No Known Activations