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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. 9-RES-JB
    11. 7071
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    INDEX
    Explanations

    phrases introducing clarifications or rephrasing previous statements

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that introduce rephrasing or clarification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.69
    20439
    -0.65
    avorite
    -0.64
    adium
    -0.62
    PDATE
    -0.62
    psey
    -0.59
    ousel
    -0.58
     centre
    -0.58
    "},"
    -0.56
    onel
    -0.55
    POSITIVE LOGITS
    .,
    0.91
    mith
    0.84
    phan
    0.79
    ,
    0.78
    forth
    0.74
    ,.
    0.73
    âĢ¦)
    0.73
    é¾įåĸļ士
    0.71
    facts
    0.68
    phony
    0.67
    Activations Density 0.038%

    No Known Activations