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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. 4-RES-JB
    11. 1687
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    Explanations

    words related to geographic locations, especially mountain ranges and countries

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical or ecological features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    FIELD
    -0.77
    nery
    -0.77
    forth
    -0.77
    MODE
    -0.75
    nexus
    -0.72
    DOM
    -0.72
    grounds
    -0.70
    WARD
    -0.69
    ADRA
    -0.69
    flies
    -0.68
    POSITIVE LOGITS
    ipl
    0.98
    azine
    0.90
    inx
    0.89
    ocity
    0.85
    uxe
    0.83
    oad
    0.79
    acan
    0.78
     Bagg
    0.76
    ips
    0.75
    otine
    0.74
    Activations Density 0.007%

    No Known Activations