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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. 11-RES-JB
    11. 11109
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    INDEX
    Explanations

    statements expressing strong opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    statements of certainty and fact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estial
    -0.74
    estones
    -0.73
    Delete
    -0.70
    endar
    -0.69
    iatus
    -0.69
    amily
    -0.68
     Proceed
    -0.67
    ventures
    -0.67
    enium
    -0.66
    imeter
    -0.63
    POSITIVE LOGITS
     why
    1.60
     what
    1.19
     precisely
    1.15
     how
    1.12
     exactly
    1.04
    why
    1.01
     understandable
    0.93
     where
    0.91
     evidenced
    0.90
     evident
    0.89
    Activations Density 0.132%

    No Known Activations