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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. 10-RES-JB
    11. 10771
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    Explanations

    words or phrases related to causality or consequence

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    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
     seiz
    -0.76
     Agric
    -0.75
     mete
    -0.71
     Palest
    -0.70
     photoc
    -0.68
     Shap
    -0.67
     horizont
    -0.65
     sacrific
    -0.65
     Tunis
    -0.65
     Tid
    -0.63
    POSITIVE LOGITS
    ķ
    1.16
    Ĵ
    1.12
    ĸ
    1.09
    ª
    1.08
    ©
    1.07
    «
    1.07
    ¬
    1.06
    ľ
    1.04
    ¢
    1.02
    ļ
    1.02
    Activations Density 0.052%

    No Known Activations