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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. 8-RES-JB
    11. 1001
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    INDEX
    Explanations

    expressions of satisfaction or contentment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or happiness regarding an experience or outcome

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.96
    ourage
    -0.83
    isSpecialOrderable
    -0.78
    uthor
    -0.72
     GOODMAN
    -0.71
    uld
    -0.69
    nsics
    -0.68
    UTH
    -0.67
     teasp
    -0.65
    gey
    -0.64
    POSITIVE LOGITS
     outcome
    0.94
    awed
    0.81
     regards
    0.80
     assurances
    0.79
     outcomes
    0.78
    results
    0.78
     results
    0.72
    ij士
    0.72
     ease
    0.70
     success
    0.69
    Activations Density 0.128%

    No Known Activations