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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3135
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    INDEX
    Explanations

    superlatives and comparatives

    oai_token-act-pair · gpt-3.5-turbo

    superlative forms of adjectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bara
    -0.79
    isson
    -0.74
    krit
    -0.73
    kas
    -0.72
    chwitz
    -0.71
    paio
    -0.70
    aly
    -0.68
    dinand
    -0.67
    verett
    -0.67
    utm
    -0.67
    POSITIVE LOGITS
     imaginable
    1.02
     conceivable
    0.90
     possible
    0.84
    seller
    0.77
    ream
    0.74
    hest
    0.73
    anding
    0.73
     Wanted
    0.68
     ever
    0.68
    iaries
    0.67
    Activations Density 0.024%

    No Known Activations