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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15573
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    Explanations

    names or pronouns indicating a person that is being spoken to

    oai_token-act-pair · gpt-3.5-turbo

    references to conversations or the act of talking

    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
    ©¶æ¥µ
    -0.81
    pite
    -0.78
    amins
    -0.73
    ŃĶ
    -0.72
    irez
    -0.70
    ģĸ
    -0.69
    works
    -0.67
    gross
    -0.65
    ({
    -0.65
     Goods
    -0.64
    POSITIVE LOGITS
     him
    0.90
     us
    0.76
    wered
    0.72
     them
    0.71
     me
    0.70
     passers
    0.69
     reporters
    0.68
     someone
    0.68
     strangers
    0.68
     voic
    0.67
    Activations Density 0.054%

    No Known Activations