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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. 24517
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    Explanations

    phrases related to decision-making or determination

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decision-making and the process of determining 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
    ĸļ
    -0.64
    atorium
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.56
    roud
    -0.55
    ECD
    -0.55
    inqu
    -0.54
    tsky
    -0.54
    ģ
    -0.53
    vind
    -0.53
    Edited
    -0.53
    POSITIVE LOGITS
     whom
    1.62
     which
    1.51
     who
    1.50
     whether
    1.49
     where
    1.48
     whence
    1.44
     how
    1.42
     Which
    1.37
    who
    1.35
     whose
    1.33
    Activations Density 0.681%

    No Known Activations