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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. 1-RES-JB
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    Explanations

    references to specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations, particularly St. Petersburg and El Paso

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ell
    -0.75
    don
    -0.73
    AY
    -0.70
    ayer
    -0.70
    AAAA
    -0.68
    NW
    -0.68
    ERA
    -0.67
    GE
    -0.66
    Tier
    -0.66
    mac
    -0.65
    POSITIVE LOGITS
     Petersburg
    1.15
     rall
    0.87
    sburg
    0.86
    ascus
    0.83
    oshenko
    0.79
    issance
    0.79
    phrine
    0.76
     Telegram
    0.75
     Lumpur
    0.74
    borg
    0.74
    Activations Density 0.006%

    No Known Activations