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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. 3-RES-JB
    11. 4480
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    Explanations

    names or mentions of the name "Curt" in the text

    oai_token-act-pair · gpt-3.5-turbo

    recurring names and terms associated with specific individuals and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eah
    -0.76
    cat
    -0.72
    ©¶æ
    -0.72
    vision
    -0.70
    ebra
    -0.70
    codes
    -0.69
     MRI
    -0.67
    opia
    -0.67
    bang
    -0.66
    MER
    -0.66
    POSITIVE LOGITS
    ieties
    0.94
    ilion
    0.86
     misunder
    0.77
    iety
    0.77
    veyard
    0.75
     Sau
    0.69
     aux
    0.68
     constituencies
    0.68
    pora
    0.68
    usp
    0.68
    Activations Density 0.023%

    No Known Activations