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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. 24393
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    Explanations

    words related to strong emotional reactions stemming from difficult or distressing situations

    oai_token-act-pair · gpt-3.5-turbo

    references to intense emotional experiences or gut feelings

    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
    hips
    -0.86
     Stephenson
    -0.73
    hift
    -0.72
     Chains
    -0.70
     Aad
    -0.68
    cale
    -0.67
     reconc
    -0.67
    hare
    -0.66
    eton
    -0.66
     Michele
    -0.66
    POSITIVE LOGITS
    ted
    1.25
    ierrez
    1.22
    ting
    1.09
    ters
    1.09
    tering
    1.06
    tered
    1.03
    warts
    0.98
    osc
    0.93
    rition
    0.92
    terson
    0.88
    Activations Density 0.029%

    No Known Activations