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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. 7-RES-JB
    11. 3013
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    Explanations

    videos or recordings

    oai_token-act-pair · gpt-3.5-turbo

    references to videos showing specific events or actions

    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
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    No Comments

    Negative Logits
    itte
    -0.88
     laure
    -0.79
    ktop
    -0.77
    luster
    -0.70
    manac
    -0.69
    enment
    -0.69
    orie
    -0.68
    century
    -0.67
    hetics
    -0.67
    soType
    -0.66
    POSITIVE LOGITS
     footage
    1.28
     clips
    1.07
     recordings
    1.07
     filming
    1.06
     audio
    1.06
     filmed
    1.04
     video
    0.99
     livestream
    0.98
     recording
    0.95
     videos
    0.94
    Activations Density 0.294%

    No Known Activations