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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. 11910
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    INDEX
    Explanations

    phrases indicating an action or statement is being emphasized

    oai_token-act-pair · gpt-3.5-turbo

    the presence of calls to action or prompts to read more content

    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
     oun
    -0.89
     ende
    -0.73
    eatures
    -0.73
     eleph
    -0.69
    ufact
    -0.68
    ensical
    -0.66
    emort
    -0.66
     distingu
    -0.65
     requ
    -0.64
     respons
    -0.63
    POSITIVE LOGITS
    âĢ¢
    1.05
    Forest
    1.01
    Prosecut
    0.99
    âĻ¦
    0.99
    Sup
    0.97
    âĸº
    0.95
    Parents
    0.94
    Police
    0.93
    Court
    0.93
    Inside
    0.92
    Activations Density 0.051%

    No Known Activations