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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. 3761
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    Explanations

    video-related content with a focus on violence and graphic imagery

    oai_token-act-pair · gpt-3.5-turbo

    mentions of video content, particularly in the context of graphic or violent subject matter

    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
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.93
    cffff
    -0.75
    iders
    -0.74
    sembly
    -0.71
    Ĭ±
    -0.70
    IDER
    -0.69
    姫
    -0.69
    ppo
    -0.68
    bilt
    -0.66
    uddin
    -0.64
    POSITIVE LOGITS
     clip
    1.19
     footage
    1.13
     clips
    1.07
     filmed
    1.03
     taped
    0.97
     uploaded
    0.96
     camera
    0.95
     mont
    0.95
    clip
    0.93
     depicting
    0.92
    Activations Density 0.054%

    No Known Activations