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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. 11-RES-JB
    11. 22269
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    Explanations

    phrases indicating a shift in focus or attention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest a shift or change in behavior or focus

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    among
    -0.73
    four
    -0.71
    five
    -0.70
    one
    -0.68
    geries
    -0.68
    depending
    -0.68
    mods
    -0.68
    Ĥİ
    -0.67
    rough
    -0.67
    locked
    -0.67
    POSITIVE LOGITS
     instead
    1.37
     Instead
    1.32
    Instead
    1.31
     concentrate
    1.25
     focus
    1.19
     embrace
    1.13
     opting
    1.04
    instead
    1.02
     adopt
    0.99
     replaces
    0.98
    Activations Density 0.193%

    No Known Activations