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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. 1-RES-JB
    11. 7047
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    INDEX
    Explanations

    references to thoughts or thinking

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal reflection or consideration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conservancy
    -0.70
    ipher
    -0.66
    ALL
    -0.66
    Merit
    -0.65
    east
    -0.64
    Shipping
    -0.64
    artifacts
    -0.62
    Keys
    -0.61
    Against
    -0.61
    abs
    -0.59
    POSITIVE LOGITS
    fully
    1.05
     Thought
    0.87
    lessly
    0.85
     provoking
    0.82
    fulness
    0.78
    rison
    0.74
    erala
    0.71
    sth
    0.71
    imum
    0.70
    ventus
    0.70
    Activations Density 0.021%

    No Known Activations