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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. 6505
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    Explanations

    phrases related to obstacles, challenges, and hindrances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obstacles and barriers that hinder progress or opportunities

    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
    onymous
    -0.83
    holm
    -0.81
    onym
    -0.75
    ologue
    -0.74
    thia
    -0.74
    illance
    -0.73
    washer
    -0.72
    Plot
    -0.71
    rio
    -0.69
    bard
    -0.68
    POSITIVE LOGITS
     optimism
    0.89
     inexper
    0.83
     many
    0.82
     reluctance
    0.75
     impat
    0.74
     patience
    0.74
     postp
    0.74
     setbacks
    0.73
     expectations
    0.73
     attempts
    0.72
    Activations Density 0.399%

    No Known Activations