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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. 10-RES-JB
    11. 1259
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    Explanations

    phrases indicating participation or involvement in an activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating participation or involvement in activities or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.83
    sonian
    -0.75
    6000
    -0.68
    Forge
    -0.68
    etics
    -0.67
    glass
    -0.67
    âĸĪ
    -0.66
    ioned
    -0.65
     ®
    -0.65
    onym
    -0.64
    POSITIVE LOGITS
     awhile
    1.02
    wards
    0.92
     sure
    0.86
     purposes
    0.84
    agers
    0.78
    aging
    0.77
     stretches
    0.74
     starters
    0.74
     Rookie
    0.73
     tonight
    0.72
    Activations Density 0.088%

    No Known Activations