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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. 3304
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    INDEX
    Explanations

    mentions of interviews and interactions

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

    references to interviews and the processes involved in conducting them

    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
     rainbow
    -0.81
    MpServer
    -0.80
    uyomi
    -0.78
     Wad
    -0.71
     brigade
    -0.68
     decoration
    -0.68
    ¬¼
    -0.67
     slashing
    -0.65
     Confederacy
    -0.64
     Confederate
    -0.64
    POSITIVE LOGITS
    Interview
    1.90
     interview
    1.85
     interviews
    1.78
     Interview
    1.78
     interviewer
    1.71
     interviewing
    1.61
     interviewed
    1.45
     transcripts
    1.11
     transcript
    1.11
     taped
    1.08
    Activations Density 0.510%

    No Known Activations