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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. 12466
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    INDEX
    Explanations

    phrases indicating emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    the repeated reference to a specific season in various contexts

    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
    ilitarian
    -0.70
    masters
    -0.68
    ickets
    -0.65
    aws
    -0.64
    oidal
    -0.64
    oller
    -0.63
    gans
    -0.62
    acers
    -0.62
    pots
    -0.61
    256
    -0.60
    POSITIVE LOGITS
     week
    1.25
     year
    1.08
     month
    1.07
     morning
    1.04
     afternoon
    1.04
     semester
    1.03
     weekend
    1.00
     century
    0.89
     evening
    0.88
     summer
    0.83
    Activations Density 0.122%

    No Known Activations