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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. 10-RES-JB
    11. 13888
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    Explanations

    individual items or entities being excluded, made, or not included in a certain context or list

    oai_token-act-pair · gpt-3.5-turbo

    content related to exclusion from studies or assessments

    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
    him
    -0.68
     ILCS
    -0.68
    mercial
    -0.65
     spir
    -0.62
     increasingly
    -0.62
    ilitating
    -0.61
    ãĤ¶
    -0.60
    ãĥĸ
    -0.58
    rowth
    -0.58
     beginnings
    -0.58
    POSITIVE LOGITS
     finalists
    0.98
     panel
    0.88
     surveyed
    0.88
     semif
    0.87
     participant
    0.85
     omitted
    0.84
     selections
    0.83
     delegation
    0.83
     participants
    0.81
     turnout
    0.79
    Activations Density 0.648%

    No Known Activations