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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1000
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    Explanations

    references or mentions of the word "Ad"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Ad."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.79
    GoldMagikarp
    -0.71
    Ń·
    -0.70
     trout
    -0.68
    Jr
    -0.68
     biomass
    -0.67
     Stronghold
    -0.66
     Weir
    -0.65
     pinch
    -0.63
     Kubrick
    -0.62
    POSITIVE LOGITS
    vertis
    1.37
    elaide
    1.30
    vertising
    1.24
    vantage
    1.23
    mittedly
    1.19
    vertisements
    1.15
    vance
    1.12
    ventures
    1.12
    idas
    1.10
    roit
    1.08
    Activations Density 0.025%

    No Known Activations