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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1089
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    videos or multimedia content

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "video"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    vironment
    -0.87
    Ĭ±
    -0.80
    abil
    -0.78
    owder
    -0.77
    å§«
    -0.77
    cffff
    -0.76
    arios
    -0.75
    veland
    -0.74
    itage
    -0.72
    ixir
    -0.69
    POSITIVE LOGITS
     clip
    1.03
     footage
    0.93
     clips
    0.93
     filmed
    0.88
    clip
    0.87
    LAN
    0.81
     Clip
    0.79
     playback
    0.76
     cameras
    0.76
     streaming
    0.75
    Activations Density 0.037%

    No Known Activations