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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. 7-RES-JB
    11. 8944
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    Explanations

    words related to conversion or transformation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to transformation or change in state

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    llah
    -0.74
    awi
    -0.68
     Administration
    -0.67
    accompan
    -0.65
    andr
    -0.65
     Limits
    -0.64
    Fram
    -0.64
     Cheong
    -0.63
    alys
    -0.62
     Anthem
    -0.61
    POSITIVE LOGITS
    ibles
    1.03
    verted
    0.89
    verting
    0.80
     converts
    0.78
    itional
    0.76
    rette
    0.76
    itive
    0.75
    naissance
    0.75
    ible
    0.74
    itably
    0.72
    Activations Density 0.025%

    No Known Activations