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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. 24182
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    Explanations

    commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    action verbs related to activities, tasks, or processes

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    brew
    -0.64
    assis
    -0.61
    emonic
    -0.61
    nets
    -0.58
    rin
    -0.58
    RON
    -0.57
    nton
    -0.56
    idas
    -0.56
    plementation
    -0.56
    spons
    -0.55
    POSITIVE LOGITS
     differently
    0.95
     freely
    0.86
     separately
    0.84
     anything
    0.83
     responsibly
    0.83
     alongside
    0.82
     anyway
    0.82
     elsewhere
    0.82
     directly
    0.81
     without
    0.81
    Activations Density 0.696%

    No Known Activations