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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. 10-RES-JB
    11. 8176
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    INDEX
    Explanations

    mentions of the word "Blender"

    oai_token-act-pair · gpt-3.5-turbo

    words associated with geographical locations or references to specific places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Samar
    -0.72
     showc
    -0.65
     suspended
    -0.64
    Sund
    -0.61
    Recomm
    -0.61
    Lago
    -0.60
    llah
    -0.59
    noon
    -0.59
     tails
    -0.58
     rapt
    -0.58
    POSITIVE LOGITS
    hemy
    1.12
    geoning
    0.83
    eworthy
    0.79
    haven
    0.79
    zinski
    0.78
    punk
    0.78
    etooth
    0.75
    tein
    0.74
    iken
    0.73
    oms
    0.72
    Activations Density 0.054%

    No Known Activations