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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. 10-RES-JB
    6. 4759
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of clarity or knowledge about a situation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redesigned
    -0.61
    manent
    -0.61
    bestos
    -0.60
    ãĥĪ
    -0.59
    inia
    -0.59
    bey
    -0.58
    ĪĴ
    -0.58
    eatured
    -0.57
    doors
    -0.56
    ience
    -0.56
    POSITIVE LOGITS
     yet
    0.79
    .
    0.76
     but
    0.76
    .<
    0.76
    .ãĢį
    0.75
    answer
    0.74
     until
    0.73
    ;
    0.73
    .$
    0.73
    .?
    0.72
    Activations Density 0.108%

    No Known Activations