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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. 12-RES-JB
    11. 3964
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    Explanations

    discussions around contracts and evaluations in the context of sports

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    sentences expressing anticipation or uncertainty regarding future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Introduced
    -0.71
    âĹ¼
    -0.70
    Reviewer
    -0.69
    rupted
    -0.68
    thinkable
    -0.67
    iqueness
    -0.66
    \/\/
    -0.66
    ò
    -0.65
    Þ
    -0.63
    ñ
    -0.63
    POSITIVE LOGITS
     wait
    1.07
     await
    0.98
     see
    0.95
     evaluate
    0.82
     hopefully
    0.78
     hope
    0.77
     monitor
    0.75
     waiting
    0.75
     keep
    0.74
     figure
    0.74
    Activations Density 0.221%

    No Known Activations