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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. 7-RES-JB
    6. 10757
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    INDEX
    Explanations

    dates in a specific format, possibly related to events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "initial" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sav
    -0.77
    knife
    -0.72
    yers
    -0.71
    rf
    -0.70
    romeda
    -0.70
    Fish
    -0.69
    rod
    -0.68
    bara
    -0.67
    lov
    -0.67
    razil
    -0.67
    POSITIVE LOGITS
     stages
    1.06
     impressions
    1.02
     impression
    0.97
     impulse
    0.92
     reaction
    0.91
     phases
    0.90
     responders
    0.90
     batch
    0.90
    izers
    0.89
     impetus
    0.88
    Activations Density 0.025%

    No Known Activations