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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. 9-RES-JB
    11. 6006
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    Explanations

    phrases indicating communication or mentioning someone or something

    oai_token-act-pair · gpt-3.5-turbo

    references or mentions of entities or subjects in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     whiff
    -0.62
     lett
    -0.59
    hold
    -0.57
    cffff
    -0.56
     Jed
    -0.56
     foothold
    -0.55
    urity
    -0.55
    opia
    -0.55
    heres
    -0.54
    feeding
    -0.53
    POSITIVE LOGITS
    rers
    0.91
    entious
    0.89
     thereto
    0.84
     to
    0.78
    ãĥĥ
    0.76
    irect
    0.75
    rer
    0.70
    geon
    0.69
    rals
    0.67
    swer
    0.66
    Activations Density 0.060%

    No Known Activations