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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. 11-RES-JB
    6. 19492
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    INDEX
    Explanations

    phrases related to cost or value propositions

    oai_token-act-pair · gpt-3.5-turbo

    evaluative phrases indicating positive or favorable characteristics

    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
    mares
    -0.77
    aline
    -0.68
    ansk
    -0.65
    Article
    -0.62
    alks
    -0.62
    etz
    -0.61
    images
    -0.59
    dule
    -0.59
     rates
    -0.59
    individual
    -0.59
    POSITIVE LOGITS
     worthwhile
    1.18
     boon
    1.12
     viable
    1.10
     good
    1.07
     fruitful
    1.05
     useful
    1.00
     mistake
    0.99
     better
    0.97
     worthy
    0.95
     wiser
    0.95
    Activations Density 0.191%

    No Known Activations