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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. 1043
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    Explanations

    verbs related to actions or commands

    oai_token-act-pair · gpt-3.5-turbo

    references to guidance or influence from others

    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
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    No Comments

    Negative Logits
    IOR
    -0.73
    ãĥĩãĤ£
    -0.72
    partial
    -0.66
    Area
    -0.66
    azz
    -0.65
    cest
    -0.65
    nai
    -0.64
    tu
    -0.63
    area
    -0.62
    pora
    -0.62
    POSITIVE LOGITS
     footsteps
    1.60
     directions
    1.35
     instructions
    1.25
     path
    1.14
     lead
    1.11
     footprints
    1.07
     advice
    1.07
     steps
    1.07
     example
    1.03
     paths
    1.02
    Activations Density 0.134%

    No Known Activations