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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. 6-RES-JB
    11. 3113
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    Explanations

    aspects of visual and technical quality in various media

    oai_token-act-pair · gpt-3.5-turbo

    elements related to the visual and technical aspects of films and games

    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
    20439
    -0.83
    vard
    -0.75
    DonaldTrump
    -0.72
    ŃĶ
    -0.70
    cot
    -0.69
    ielding
    -0.69
    oso
    -0.68
    mington
    -0.66
    ishable
    -0.66
    rams
    -0.65
    POSITIVE LOGITS
     quirks
    1.07
     layout
    0.89
     resemblance
    0.85
     curve
    0.83
     conflic
    0.81
     structure
    0.80
     proble
    0.79
     aspect
    0.79
     adjustment
    0.76
     integrity
    0.74
    Activations Density 0.481%

    No Known Activations