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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. 9-RES-JB
    11. 19801
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    Explanations

    references to video content

    oai_token-act-pair · gpt-3.5-turbo

    references to videos, particularly those posted on platforms like YouTube

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĭ±
    -0.92
    姫
    -0.79
    cffff
    -0.77
    arios
    -0.73
    merce
    -0.71
    owder
    -0.70
    iders
    -0.70
    terday
    -0.67
    BuyableInstoreAndOnline
    -0.66
    estial
    -0.64
    POSITIVE LOGITS
     clip
    1.27
     clips
    1.16
     footage
    1.13
     uploaded
    1.11
     filmed
    1.06
    clip
    0.99
     mont
    0.87
     camera
    0.86
     taped
    0.85
     recordings
    0.83
    Activations Density 0.042%

    No Known Activations