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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. 9-RES-JB
    6. 7725
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    Explanations

    positive descriptions or evaluations of various topics

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating quality or talent

    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
    ewitness
    -0.62
    rador
    -0.58
     doesnt
    -0.55
    pires
    -0.54
    resent
    -0.52
    Firstly
    -0.50
    urrencies
    -0.49
    aeper
    -0.48
    ãĥĥãĥĪ
    -0.47
     Lets
    -0.47
    POSITIVE LOGITS
    ;
    1.19
    .;
    1.05
    —"
    1.03
    ,[
    1.00
    —
    0.95
    !,
    0.92
    .)
    0.90
    ,
    0.89
    .,
    0.85
     though
    0.82
    Activations Density 2.059%

    No Known Activations