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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. 3190
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    Explanations

    places and events

    oai_token-act-pair · gpt-3.5-turbo

    references to times of day and social gatherings or events

    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
     Empires
    -0.91
    faces
    -0.80
    ernels
    -0.79
    efficients
    -0.78
    eworks
    -0.75
    erity
    -0.74
     Governments
    -0.72
     selves
    -0.72
    akings
    -0.71
     endings
    -0.70
    POSITIVE LOGITS
     altercation
    0.85
     trip
    0.77
     outing
    0.77
    romptu
    0.75
     stint
    0.75
     acquaintance
    0.73
     jog
    0.73
     session
    0.73
     seminar
    0.71
     subcommittee
    0.71
    Activations Density 0.408%

    No Known Activations