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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. 10-RES-JB
    11. 11506
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    Explanations

    phrases related to progress and improvements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to progress and improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reserved
    -0.76
    umed
    -0.71
    unless
    -0.69
     spoilers
    -0.69
    hate
    -0.69
    isle
    -0.67
     Variant
    -0.67
     Conspiracy
    -0.67
     hates
    -0.66
    ucker
    -0.65
    POSITIVE LOGITS
     successes
    1.48
     achievements
    1.35
     improvements
    1.34
     progress
    1.31
     advancements
    1.31
     accomplishments
    1.28
     improvement
    1.27
     breakthrough
    1.27
     improving
    1.26
     victories
    1.26
    Activations Density 0.690%

    No Known Activations