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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13271
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    Explanations

    information about future events or expected occurrences, including improvements, production, and starting dates

    oai_token-act-pair · gpt-3.5-turbo

    references to schedules or timelines for events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     comrade
    -0.81
    oggle
    -0.76
    yet
    -0.73
    ti
    -0.69
     supposed
    -0.68
     comrades
    -0.68
    talk
    -0.66
    allowed
    -0.66
    CHA
    -0.65
     Tears
    -0.65
    POSITIVE LOGITS
    orthern
    0.97
    outheast
    0.90
    outheastern
    0.84
     depending
    0.80
     coasts
    0.79
     intersections
    0.78
    depending
    0.77
     intermediate
    0.76
     Midlands
    0.75
     regions
    0.75
    Activations Density 0.973%

    No Known Activations