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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. 8-RES-JB
    6. 21007
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    Explanations

    sentences praising someone's work

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "a [modifier] [noun]" structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fears
    -0.74
     occupied
    -0.69
     claimants
    -0.67
     disputes
    -0.67
     corpses
    -0.66
    seekers
    -0.66
     confines
    -0.65
     foes
    -0.65
    cells
    -0.65
     uncertainties
    -0.65
    POSITIVE LOGITS
     lot
    0.98
     thorough
    0.88
     retrospective
    0.84
     deed
    0.83
     thing
    0.81
     bunch
    0.81
     stint
    0.81
    rouse
    0.80
     roundup
    0.78
     darn
    0.77
    Activations Density 0.058%

    No Known Activations