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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. 11-RES-JB
    11. 21910
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    INDEX
    Explanations

    words with a dash (hyphen) at the beginning, possibly indicating a negative association

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "in-depth."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reloaded
    -0.75
     Sorce
    -0.72
     Independent
    -0.69
     SPD
    -0.64
     Zup
    -0.63
     dism
    -0.63
     McKenna
    -0.62
     ske
    -0.62
     Parables
    -0.62
     Brass
    -0.62
    POSITIVE LOGITS
    depth
    1.75
    house
    1.38
    progress
    1.26
    demand
    1.25
    person
    1.24
    built
    1.23
    camera
    1.23
    laws
    1.22
    game
    1.21
    browser
    1.21
    Activations Density 0.015%

    No Known Activations