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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. 2192
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    Explanations

    technical terms related to aviation and possibly crisis situations

    oai_token-act-pair · gpt-3.5-turbo

    context related to critical incidents or failures

    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
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ
    -0.77
     Latest
    -0.75
     now
    -0.70
    )\
    -0.70
     âĢ
    -0.67
     âĸ
    -0.66
    ?ãĢį
    -0.65
     âĢİ
    -0.63
     âĶĤ
    -0.63
    ï¸
    -0.62
    POSITIVE LOGITS
     beforehand
    0.84
     culminating
    0.83
     scrambling
    0.74
     horrend
    0.73
    !.
    0.72
     defeating
    0.71
     concluding
    0.71
     resulting
    0.71
     ruining
    0.68
     afterwards
    0.68
    Activations Density 1.113%

    No Known Activations