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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. 7-RES-JB
    11. 9365
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    Explanations

    the phrase "out there"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "there" emphasizing existence or presence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fully
    -0.67
     Nanto
    -0.65
    usterity
    -0.63
    ãĥª
    -0.59
     Carbuncle
    -0.59
    resh
    -0.59
    nce
    -0.57
    mes
    -0.57
    inventoryQuantity
    -0.57
    uthor
    -0.56
    POSITIVE LOGITS
    abouts
    1.31
     somewhere
    0.72
     flyers
    0.71
    tics
    0.71
    arium
    0.70
     illegally
    0.66
    fires
    0.65
    rared
    0.65
     begging
    0.65
    dden
    0.63
    Activations Density 0.024%

    No Known Activations