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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. 12-RES-JB
    11. 3158
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    INDEX
    Explanations

    dates and titles of films and books

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to specific years and film-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ources
    -0.87
    terday
    -0.71
    lying
    -0.66
     thirds
    -0.66
    paces
    -0.65
    oxide
    -0.65
    rients
    -0.65
    ledged
    -0.64
    bars
    -0.64
    achus
    -0.64
    POSITIVE LOGITS
    âĢ²
    0.92
     edition
    0.89
    -'
    0.84
     Nobel
    0.83
     Pulitzer
    0.82
     masterpiece
    0.80
     remake
    0.80
     Dodge
    0.76
     Cannes
    0.75
     iteration
    0.74
    Activations Density 0.099%

    No Known Activations