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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. 7-RES-JB
    11. 5128
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    Explanations

    proper nouns or names with a focus on French-sounding names

    oai_token-act-pair · gpt-3.5-turbo

    words or terms related to various forms of value, worth, or luxury

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     challeng
    -0.78
     flare
    -0.68
    DEP
    -0.68
     contrace
    -0.66
     flares
    -0.66
     pse
    -0.65
     bases
    -0.64
     deliberations
    -0.62
     indo
    -0.60
     horm
    -0.60
    POSITIVE LOGITS
    ï¸ı
    1.04
    oise
    0.80
    ois
    0.79
    ilver
    0.78
    fold
    0.76
     Marketable
    0.75
    ée
    0.74
    hai
    0.74
    lette
    0.74
    iste
    0.73
    Activations Density 0.213%

    No Known Activations