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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 4076
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    Explanations

    terms related to a vision or vision-related concepts

    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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.72
    avis
    -0.67
    pmwiki
    -0.65
    ieri
    -0.65
    Ô
    -0.64
    atern
    -0.63
    çͰ
    -0.62
    mone
    -0.62
    Ton
    -0.61
    uddin
    -0.61
    POSITIVE LOGITS
    aries
    1.46
     vision
    1.15
     visions
    0.99
    ary
    0.95
    alist
    0.89
     goggles
    0.89
     obs
    0.87
    naire
    0.84
     Vision
    0.76
     horizon
    0.75
    Activations Density 0.033%

    No Known Activations