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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. 0-RES-JB
    11. 15713
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    INDEX
    Explanations

    mentions of local people in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to local residents and their experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adden
    -0.71
    achment
    -0.65
    ce
    -0.65
     Reprodu
    -0.64
    âģ
    -0.62
    ove
    -0.61
     forth
    -0.61
    oe
    -0.61
    Dark
    -0.60
     Edition
    -0.60
    POSITIVE LOGITS
     locals
    3.82
     natives
    2.20
     villagers
    1.87
     residents
    1.73
     tourists
    1.65
    Residents
    1.49
     neighbours
    1.47
    Local
    1.45
     outsiders
    1.43
     local
    1.43
    Activations Density 0.015%

    No Known Activations