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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. 6-RES-JB
    11. 353
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    Explanations

    phrases related to a lack of knowledge or information about a specific topic

    oai_token-act-pair · gpt-3.5-turbo

    the word "about" in various contexts, indicating a focus on knowledge or understanding of different subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     teasp
    -0.91
    igham
    -0.81
    rang
    -0.72
    ulla
    -0.71
    ealous
    -0.68
    alez
    -0.66
    mpeg
    -0.63
    ammy
    -0.63
    senal
    -0.63
    ©¶æ¥µ
    -0.62
    POSITIVE LOGITS
     how
    0.86
     whats
    0.84
     whereabouts
    0.72
     what
    0.69
     calib
    0.68
     neuroscience
    0.67
     oneself
    0.67
    izoph
    0.65
     nutrition
    0.65
     sorts
    0.63
    Activations Density 0.131%

    No Known Activations