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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. 1-RES-JB
    11. 23221
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    Explanations

    adverbs and adjectives that point out inherent qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms that express inherent qualities or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mouth
    -0.70
     Fried
    -0.70
     Millennium
    -0.69
     Mag
    -0.66
     Nurs
    -0.66
     Straw
    -0.66
     Workers
    -0.66
     Butcher
    -0.66
     Guys
    -0.65
     Ike
    -0.65
    POSITIVE LOGITS
     intrinsically
    0.97
     cumbers
    0.93
     inherently
    0.90
     guiActiveUn
    0.86
    entimes
    0.86
     unnecess
    0.84
    ministic
    0.82
     rewarding
    0.78
     subjective
    0.77
    otom
    0.77
    Activations Density 0.008%

    No Known Activations