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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. 6-RES-JB
    11. 18688
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    Explanations

    verbs related to exceeding, surpassing, or exceeding limits

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exceeding or surpassing limits or expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rug
    -0.72
    Sham
    -0.68
    rounder
    -0.65
    RAW
    -0.65
    SO
    -0.64
    choice
    -0.61
    onna
    -0.59
    atto
    -0.58
    otive
    -0.57
    rain
    -0.57
    POSITIVE LOGITS
     expectations
    0.83
    =>
    0.78
     9000
    0.75
    ingly
    0.75
    atos
    0.73
    capacity
    0.73
    imates
    0.71
    ebin
    0.69
    ealous
    0.69
     milestones
    0.68
    Activations Density 0.031%

    No Known Activations