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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. 11-RES-JB
    11. 13509
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    INDEX
    Explanations

    comparative adjectives and adverbs

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and adverbs indicating degree or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yles
    -0.79
    Downloadha
    -0.78
    ulia
    -0.72
    amins
    -0.72
    ãĥ¼ãĥĨãĤ£
    -0.70
    merce
    -0.69
    VIDIA
    -0.67
    oras
    -0.65
    letal
    -0.65
    emet
    -0.64
    POSITIVE LOGITS
     outspoken
    1.23
     adamant
    1.21
     vocal
    1.17
     cautious
    1.15
     enthusiastic
    1.13
     careful
    1.13
     proactive
    1.11
     forthcoming
    1.10
     hesitant
    1.10
     attentive
    1.09
    Activations Density 0.135%

    No Known Activations