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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. 11609
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    Explanations

    locations or areas on a large scale, such as states or regions, and terms indicating a wide geographical scope

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical scope or distribution, particularly in a national or global context

    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
    ppe
    -0.68
    itar
    -0.63
    eez
    -0.61
     Nost
    -0.60
    IENT
    -0.58
    chest
    -0.58
    yg
    -0.57
    Ĺ
    -0.56
    ĸ
    -0.55
    yp
    -0.55
    POSITIVE LOGITS
    eatures
    0.84
    without
    0.82
    abouts
    0.80
    aneously
    0.79
    with
    0.78
    tics
    0.74
    tesy
    0.74
    odon
    0.70
    etheless
    0.70
    aturdays
    0.70
    Activations Density 0.105%

    No Known Activations