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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. 11-RES-JB
    11. 21258
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    Explanations

    terms related to premonition or warning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to foresight or prediction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Mine
    -0.65
     Burr
    -0.64
     Nieto
    -0.63
     bitters
    -0.60
     disl
    -0.60
     Commonwealth
    -0.59
     attraction
    -0.59
     random
    -0.59
     plain
    -0.59
     Archdemon
    -0.58
    POSITIVE LOGITS
    shadow
    1.60
    nsics
    1.52
    sight
    1.46
    told
    1.43
    warn
    1.43
    runner
    1.40
    warning
    1.40
    gone
    1.39
    closed
    1.39
    knowledge
    1.36
    Activations Density 0.040%

    No Known Activations