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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. 9-RES-JB
    6. 2606
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    Explanations

    names and handles related to social media and universities

    oai_token-act-pair · gpt-3.5-turbo

    instances of academic institutions or references to educational content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iston
    -0.75
     undert
    -0.74
    onde
    -0.72
    Ont
    -0.71
     Nightmare
    -0.70
     Tsu
    -0.69
    ista
    -0.68
    imen
    -0.67
    nette
    -0.67
    ente
    -0.67
    POSITIVE LOGITS
    Gs
    1.30
    G
    1.30
    g
    1.29
    GC
    1.19
    gm
    1.18
    gil
    1.17
    GY
    1.14
    gas
    1.14
    gel
    1.14
    gs
    1.13
    Activations Density 0.345%

    No Known Activations