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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 10687
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    Explanations

    years expressed in four digits

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2017

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tub
    -0.66
    weights
    -0.63
    cold
    -0.62
     throb
    -0.59
     Mell
    -0.59
    hiba
    -0.59
     repro
    -0.58
     Cold
    -0.57
    enei
    -0.57
     answ
    -0.57
    POSITIVE LOGITS
    halla
    0.81
    alez
    0.71
    20439
    0.70
     onwards
    0.70
    umbers
    0.69
     Winners
    0.69
    Marginal
    0.68
    rd
    0.68
    âĢ³
    0.67
    ership
    0.67
    Activations Density 0.042%

    No Known Activations