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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. 2-RES-JB
    11. 15785
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    Explanations

    mentions of academic contexts or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to academic topics and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oning
    -0.77
     Bundy
    -0.75
    lua
    -0.69
    ACTED
    -0.68
     slaughtered
    -0.68
    Lt
    -0.62
    ...]
    -0.62
    _>
    -0.62
    vous
    -0.62
    generic
    -0.62
    POSITIVE LOGITS
    ulty
    1.08
    ademic
    1.01
     academic
    0.95
    essors
    0.84
    VERTISEMENT
    0.83
     curric
    0.82
     achie
    0.79
    olor
    0.78
    iott
    0.78
     dean
    0.77
    Activations Density 0.007%

    No Known Activations