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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 10224
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    INDEX
    Explanations

    phrases describing a small or moderate amount or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases indicating mild criticism or dissatisfaction

    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
     Flavoring
    -0.88
    idth
    -0.84
    psons
    -0.83
    ocity
    -0.83
     Siber
    -0.82
    apons
    -0.81
    ulkan
    -0.79
    itars
    -0.78
    andise
    -0.77
    hire
    -0.76
    POSITIVE LOGITS
     confused
    1.17
     confusing
    1.15
     scary
    1.09
     tricky
    1.08
     awkward
    1.07
     disappointing
    1.07
     rusty
    1.05
     unclear
    1.03
     uncomfortable
    1.02
     fuzzy
    1.02
    Activations Density 0.048%

    No Known Activations