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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. 2715
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    Explanations

    phrases related to accomplishments and victories

    oai_token-act-pair · gpt-3.5-turbo

    sports-related achievements and milestones

    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
     solicit
    -0.69
     lapse
    -0.64
     burner
    -0.64
    idered
    -0.63
    ngth
    -0.62
    ETA
    -0.61
    isine
    -0.61
    zik
    -0.60
    ATED
    -0.59
    cised
    -0.59
    POSITIVE LOGITS
     convinc
    0.86
     outright
    0.85
    tein
    0.81
    stakes
    0.79
     Pulitzer
    0.79
     Medals
    0.78
     trophies
    0.77
     lottery
    0.77
     decisively
    0.76
     landslide
    0.74
    Activations Density 0.178%

    No Known Activations