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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. 22845
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    Explanations

    specific mentions of the word "Standing" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "standing" in various contexts

    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
    egu
    -0.82
    xy
    -0.76
    ilers
    -0.75
    iler
    -0.73
    ocaly
    -0.71
    xual
    -0.70
    ebook
    -0.69
    EStream
    -0.68
     [|
    -0.68
    ilic
    -0.66
    POSITIVE LOGITS
    still
    0.90
     upright
    0.83
     ov
    0.81
     desks
    0.81
    outs
    0.69
    ances
    0.68
     halls
    0.67
     ducks
    0.66
     armies
    0.66
     desk
    0.66
    Activations Density 0.026%

    No Known Activations