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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. 6-RES-JB
    11. 24489
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    Explanations

    date ranges

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years or time periods in the text

    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
    Sov
    -0.69
    atem
    -0.66
    à
    -0.64
    vs
    -0.62
    Word
    -0.62
    ËĪ
    -0.61
    tap
    -0.60
     clos
    -0.59
    cro
    -0.59
    dds
    -0.58
    POSITIVE LOGITS
     respectively
    0.91
     inclusive
    0.86
     cohorts
    0.75
     depending
    0.70
     consecut
    0.69
     totaling
    0.66
     onwards
    0.64
     alike
    0.64
    SPONSORED
    0.63
    oulos
    0.62
    Activations Density 0.082%

    No Known Activations