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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. 8705
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    Explanations

    questions or statements expressing curiosity or contemplation

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing curiosity and questioning

    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
    Not in Any Lists

    No Comments

    Negative Logits
    alde
    -0.94
    20439
    -0.92
    esm
    -0.88
    catentry
    -0.87
    arget
    -0.87
    breaking
    -0.82
    icum
    -0.77
    ipment
    -0.77
    FN
    -0.76
    binding
    -0.74
    POSITIVE LOGITS
     pige
    0.76
     WHY
    0.74
     why
    0.71
     motives
    0.70
     exactly
    0.70
     nostalg
    0.67
     coincidence
    0.67
     ironic
    0.66
     consolation
    0.65
     Griff
    0.65
    Activations Density 0.109%

    No Known Activations