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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. 9-RES-JB
    11. 23283
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    Explanations

    phrases that indicate evaluation or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss conditional situations and future planning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.85
    AGES
    -0.66
    Indeed
    -0.62
    imen
    -0.62
    hig
    -0.61
    arest
    -0.61
     Released
    -0.60
     eagerly
    -0.59
    ãĢij
    -0.59
     millennia
    -0.58
    POSITIVE LOGITS
     everybody
    1.32
     somebody
    1.31
     [
    1.12
     we
    1.09
     anybody
    1.07
     you
    1.02
     ['
    1.01
     guys
    0.93
     they
    0.91
     I
    0.90
    Activations Density 0.421%

    No Known Activations