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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. 4-RES-JB
    11. 2136
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    Explanations

    keywords related to vision and visual perception

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "vision" in various contexts

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

    No Comments

    Negative Logits
    ghan
    -0.85
     gobl
    -0.82
    ttle
    -0.75
    cule
    -0.73
     actionGroup
    -0.68
    gd
    -0.68
    MER
    -0.66
    mine
    -0.65
    erent
    -0.65
    ATHER
    -0.63
    POSITIVE LOGITS
     Vision
    1.14
    Vision
    1.00
     goggles
    0.98
    vision
    0.95
     vision
    0.91
    aries
    0.88
    ary
    0.83
    port
    0.77
    olution
    0.77
    glass
    0.74
    Activations Density 0.019%

    No Known Activations