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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. 2794
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    INDEX
    Explanations

    specific phrases related to detailed events or actions

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable statistics and trends related to performance or outcomes

    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
    ,
    -0.64
     of
    -0.61
     Of
    -0.59
     ,
    -0.59
     etc
    -0.56
    of
    -0.55
     but
    -0.53
    ,,
    -0.52
    event
    -0.52
     however
    -0.49
    POSITIVE LOGITS
    âĸº
    0.72
    âĻ¦
    0.68
    âĸł
    0.68
    âĢ
    0.66
    âĹ
    0.64
    itiz
    0.62
    ":"
    0.62
    Ó
    0.61
    âĶģ
    0.61
    âķIJâķIJ
    0.60
    Activations Density 1.196%

    No Known Activations