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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13094
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    Explanations

    mentions of locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of locations or geographical entities, particularly related to Africa

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.75
    ï¸ı
    -0.69
    IDER
    -0.67
    redits
    -0.65
    EVA
    -0.61
     [];
    -0.61
    Interstitial
    -0.60
    BALL
    -0.60
    HAEL
    -0.60
    Hopefully
    -0.59
    POSITIVE LOGITS
    zsche
    0.85
    iqueness
    0.78
    anyahu
    0.75
    onsense
    0.72
    ilus
    0.71
    imil
    0.71
    repeat
    0.70
    urnal
    0.70
    ko
    0.69
    arious
    0.68
    Activations Density 0.086%

    No Known Activations