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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. 6447
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    INDEX
    Explanations

    phrases involving the concept of build-up or preparation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "up" 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
    azes
    -0.70
    zh
    -0.68
    ²¾
    -0.64
     downt
    -0.61
    Ĭ±
    -0.61
    ighth
    -0.61
     measurable
    -0.61
    BIT
    -0.60
     �
    -0.60
    gemony
    -0.59
    POSITIVE LOGITS
    dates
    1.09
    dating
    0.91
    rison
    0.79
    stairs
    0.74
    DragonMagazine
    0.74
    olean
    0.73
    athon
    0.72
    artist
    0.70
     syndrome
    0.69
    iment
    0.69
    Activations Density 0.032%

    No Known Activations