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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. 4-RES-JB
    11. 20074
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    Explanations

    specific references to events or actions conducted by organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "the" and related pronouns

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

    No Comments

    Negative Logits
    reflect
    -0.68
    acy
    -0.67
    hd
    -0.65
    MI
    -0.64
    entric
    -0.62
     Journalists
    -0.61
    iliate
    -0.61
    heed
    -0.61
    arry
    -0.60
    ftime
    -0.60
    POSITIVE LOGITS
     last
    0.84
     entire
    0.81
     way
    0.75
     unnecess
    0.74
     earlier
    0.73
     hars
    0.73
     previous
    0.73
     initial
    0.71
     quickest
    0.70
     whole
    0.67
    Activations Density 0.784%

    No Known Activations