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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. 5467
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    Explanations

    words related to a wide variety of topics spanning from physical locations to specific cultural references

    oai_token-act-pair · gpt-3.5-turbo

    topics related to food and dining locations

    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
    Ö¼
    -0.65
    FILE
    -0.58
     misunder
    -0.56
    ccording
    -0.56
    krit
    -0.55
    ngth
    -0.52
    gged
    -0.51
    resp
    -0.51
    farious
    -0.51
    SET
    -0.51
    POSITIVE LOGITS
     to
    1.04
    to
    0.81
     onwards
    0.75
     etc
    0.71
     onward
    0.69
     Leilan
    0.69
     To
    0.67
    To
    0.63
     thereto
    0.59
    assetsadobe
    0.58
    Activations Density 0.156%

    No Known Activations