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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. 0-RES-JB
    11. 8149
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    Explanations

    commonalities or similarities between different entities

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of "Both" in contexts indicating comparisons or duality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stro
    -0.66
     trick
    -0.61
     catalog
    -0.60
     estate
    -0.59
    iatrics
    -0.59
    igil
    -0.58
     dracon
    -0.58
     shred
    -0.58
     useless
    -0.57
     statistic
    -0.57
    POSITIVE LOGITS
     Both
    3.27
    Both
    2.79
     Neither
    2.35
    both
    2.13
    Neither
    1.96
     Either
    1.78
     both
    1.71
    Either
    1.41
     Together
    1.41
     Each
    1.39
    Activations Density 0.015%

    No Known Activations