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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. 23525
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    Explanations

    sentences with critical feedback or highlighting issues

    oai_token-act-pair · gpt-3.5-turbo

    sentences that make negative points or identify drawbacks

    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
    mire
    -0.67
    enium
    -0.67
    ople
    -0.65
    lla
    -0.65
    isher
    -0.65
     trailing
    -0.64
    orescence
    -0.62
    ishment
    -0.61
    ascus
    -0.61
    arma
    -0.59
    POSITIVE LOGITS
     Firstly
    1.46
    Firstly
    1.18
     namely
    1.17
     Including
    0.96
     Specifically
    0.92
     viz
    0.90
    âĹı
    0.89
    :-
    0.87
     includ
    0.86
    Specifically
    0.76
    Activations Density 0.456%

    No Known Activations