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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21423
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    Explanations

    phrases indicating extremes or superlatives, such as "the most," "the best," or "the worst."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a ranking or comparison among entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tera
    -1.05
    krit
    -0.83
    kamp
    -0.80
    miah
    -0.78
    Ô
    -0.76
    matter
    -0.75
    gow
    -0.74
    ueller
    -0.74
    riber
    -0.72
     unfocusedRange
    -0.70
    POSITIVE LOGITS
     highs
    0.85
     sorts
    0.84
     evils
    0.83
     lows
    0.79
     earners
    0.77
     pursuits
    0.77
     entrants
    0.73
     kin
    0.73
     manners
    0.72
     partners
    0.72
    Activations Density 0.069%

    No Known Activations