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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. 6-RES-JB
    11. 726
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    Explanations

    instances of words related to problems and issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating problems related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soon
    -0.77
    orah
    -0.73
    mart
    -0.72
    obi
    -0.71
    nis
    -0.70
    nick
    -0.69
    lish
    -0.69
    linger
    -0.66
    lake
    -0.66
    gue
    -0.66
    POSITIVE LOGITS
     regards
    1.28
     regard
    1.25
     respect
    0.95
    stood
    0.95
     impunity
    0.92
    draw
    0.77
    ukong
    0.70
     dignity
    0.67
     disabilities
    0.67
    standing
    0.67
    Activations Density 0.087%

    No Known Activations