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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. 20686
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    Explanations

    the word "normal" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "normalcy" 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
    haw
    -0.79
    NRS
    -0.78
    Lens
    -0.76
    Spot
    -0.76
    hop
    -0.74
    hire
    -0.73
    Stars
    -0.73
    iosyncr
    -0.71
    è¦
    -0.70
    hani
    -0.69
    POSITIVE LOGITS
    isation
    1.19
    cy
    1.18
    ization
    1.14
    izes
    1.14
    ised
    1.09
    izing
    1.08
    ises
    1.01
    ize
    1.01
    izers
    0.99
     sized
    0.99
    Activations Density 0.018%

    No Known Activations