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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. 2-RES-JB
    11. 19395
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    Explanations

    references to eyesight, visual-related topics, and the word "vision"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept 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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gobl
    -0.75
    MER
    -0.71
    onym
    -0.68
    ghan
    -0.67
    cule
    -0.66
    bern
    -0.66
    ĻĤ
    -0.64
    ãģ®å®
    -0.63
    Wr
    -0.63
    bara
    -0.62
    POSITIVE LOGITS
    vision
    0.96
    entric
    0.88
     Vision
    0.86
    ational
    0.84
    aries
    0.80
    Vision
    0.80
    olution
    0.79
    ition
    0.79
     vision
    0.76
    izable
    0.74
    Activations Density 0.008%

    No Known Activations