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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. 9118
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    hement
    -0.73
     Reincarnated
    -0.72
    utical
    -0.64
     outwe
    -0.63
     imperson
    -0.62
    athe
    -0.61
     Lit
    -0.61
    naissance
    -0.60
     hust
    -0.58
    itters
    -0.58
    POSITIVE LOGITS
    ³³³³
    1.12
    ³³³³³³³³³³³³³³³³
    1.11
    ³³³
    1.02
    ³³³³³³³³
    1.01
    ³³
    0.91
    posted
    0.80
    Posted
    0.75
    ↵Âł
    0.72
    Figure
    0.72
    Trivia
    0.72
    Activations Density 0.520%

    No Known Activations