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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. 12-RES-JB
    11. 3986
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    Explanations

    code snippets containing loops and function calls

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    programming constructs and elements related to loops and function definitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    eers
    -0.81
    odes
    -0.66
    ians
    -0.65
    ously
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    ocr
    -0.60
    ss
    -0.58
    rix
    -0.58
    arians
    -0.57
    ét
    -0.57
    ode
    -0.56
    POSITIVE LOGITS
    ierrez
    0.66
    iosyn
    0.65
    amara
    0.63
    ionic
    0.62
    istance
    0.62
     ILCS
    0.61
    urai
    0.61
    ãĥŃ
    0.60
    ãĤ´
    0.60
    angible
    0.58
    Activations Density 0.375%

    No Known Activations