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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. 3-RES-JB
    11. 12994
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    INDEX
    Explanations

    mentions of specific geographical locations, particularly canyons and national parks

    oai_token-act-pair · gpt-3.5-turbo

    references to canyons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    encers
    -0.82
    encer
    -0.79
    enced
    -0.77
    iencies
    -0.77
    ews
    -0.72
    ī
    -0.71
    Hong
    -0.68
    ively
    -0.66
    Soviet
    -0.66
    ĩ
    -0.66
    POSITIVE LOGITS
     Canyon
    1.13
     canyon
    1.04
     Springs
    0.88
     Rapids
    0.83
    lake
    0.83
    lands
    0.81
     Creek
    0.80
    lace
    0.79
     Mesa
    0.77
     Rim
    0.76
    Activations Density 0.009%

    No Known Activations