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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. 7-RES-JB
    11. 23921
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    Explanations

    instances where something is being seriously considered or emphasized

    oai_token-act-pair · gpt-3.5-turbo

    the word "seriously" and its variations, indicating serious topics or concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifully
    -0.87
    ries
    -0.75
     Thumbnails
    -0.74
    orem
    -0.72
    anooga
    -0.71
    tein
    -0.70
     Parenthood
    -0.69
    atu
    -0.69
    eenth
    -0.68
    iful
    -0.67
    POSITIVE LOGITS
     entertained
    0.84
     retarded
    0.82
     considered
    0.78
     injure
    0.77
     consider
    0.75
     dent
    0.73
     injuring
    0.71
     considering
    0.69
    minent
    0.69
     engaged
    0.68
    Activations Density 0.030%

    No Known Activations