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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. 3432
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    Explanations

    words related to processes, procedures, or technical terms

    oai_token-act-pair · gpt-3.5-turbo

    the prefix "pro" in various contexts

    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
     needles
    -0.74
     Cornell
    -0.71
    ãĤ¼ãĤ¦ãĤ¹
    -0.71
     Halls
    -0.70
     straw
    -0.68
    gow
    -0.68
    assetsadobe
    -0.68
     halls
    -0.67
     strawberries
    -0.67
     bedrooms
    -0.67
    POSITIVE LOGITS
    digy
    1.27
    blems
    1.26
    secut
    1.17
    ceed
    1.14
    secution
    1.14
    gressive
    1.09
    posal
    1.07
    gression
    1.04
    portion
    1.04
    bable
    1.02
    Activations Density 0.015%

    No Known Activations