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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. 0-RES-JB
    11. 12643
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    Explanations

    mentions of significant increases or sudden rises in quantity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "surge"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ob
    -0.71
    atu
    -0.67
     Subjects
    -0.67
     Ob
    -0.67
    Documents
    -0.66
    asketball
    -0.66
    omm
    -0.66
     Chess
    -0.64
    nown
    -0.63
    cop
    -0.63
    POSITIVE LOGITS
     surge
    3.79
     surges
    2.73
     Surge
    2.48
     surging
    1.94
     spike
    1.87
     surged
    1.61
     resurgence
    1.57
     uptick
    1.52
     wave
    1.45
     rise
    1.44
    Activations Density 0.009%

    No Known Activations