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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. 10-RES-JB
    6. 10988
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    Explanations

    phrases associated with giving instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    informal conversational transitions or prompts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĵĺ
    -0.78
    nai
    -0.74
    cit
    -0.73
    iddler
    -0.72
    mination
    -0.70
    phant
    -0.69
    mone
    -0.69
    ache
    -0.67
    ³
    -0.67
    ROR
    -0.66
    POSITIVE LOGITS
     Lets
    0.97
     let
    0.95
     alright
    0.95
     congratulations
    0.95
     bye
    0.94
     okay
    0.93
     maybe
    0.91
     LET
    0.91
     lets
    0.91
     Okay
    0.90
    Activations Density 0.123%

    No Known Activations