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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. 15675
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    Explanations

    references to the ability to see or perceive things visually

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of visibility or seeing

    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
    EStreamFrame
    -0.71
    inion
    -0.70
    adding
    -0.65
     notor
    -0.64
     incentiv
    -0.64
    orst
    -0.63
    emetery
    -0.62
    ItemImage
    -0.62
    requisite
    -0.61
     Tactics
    -0.61
    POSITIVE LOGITS
    ocular
    0.95
    lights
    0.91
    seeing
    0.88
     afar
    0.86
    dust
    0.82
    finder
    0.82
    ight
    0.81
     daylight
    0.81
    ibility
    0.79
    ById
    0.76
    Activations Density 0.133%

    No Known Activations