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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. 5-RES-JB
    6. 1197
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    Explanations

    questions or statements followed by commas

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and specific interrogative expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inval
    -0.77
    ixel
    -0.67
    ://
    -0.67
     treasury
    -0.65
     gobl
    -0.64
     Dealer
    -0.63
     desper
    -0.62
     murderers
    -0.59
     corrid
    -0.58
     condem
    -0.58
    POSITIVE LOGITS
     uh
    0.71
    then
    0.69
    say
    0.67
    eenth
    0.67
    Sund
    0.65
     um
    0.62
     Amen
    0.61
    usually
    0.61
    orians
    0.60
     pray
    0.60
    Activations Density 0.163%

    No Known Activations