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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18528
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    Explanations

    political statements or opinions

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "for" followed by various contexts or examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.74
    marine
    -0.68
    zona
    -0.63
     (=
    -0.63
    Book
    -0.60
    aukee
    -0.59
    istine
    -0.59
    omnia
    -0.58
    halla
    -0.57
    ãĥIJ
    -0.57
    POSITIVE LOGITS
     example
    1.45
     instance
    1.44
    cing
    1.39
     starters
    1.38
    ced
    1.26
    gotten
    1.20
    give
    1.19
    bes
    1.12
     decades
    1.12
    bidden
    1.11
    Activations Density 0.057%

    No Known Activations