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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. 10-RES-JB
    11. 6000
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    INDEX
    Explanations

    numerical values that stand out, particularly those appearing as "10"

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or scores

    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
    netflix
    -0.75
    TextColor
    -0.71
    rely
    -0.67
    raviolet
    -0.62
    rette
    -0.61
    stood
    -0.59
    unct
    -0.59
     Uriel
    -0.58
    ques
    -0.58
     Naj
    -0.55
    POSITIVE LOGITS
    acity
    1.08
     Downing
    0.98
    ^{
    0.90
    th
    0.90
     commandments
    0.90
    %
    0.87
    586
    0.85
    66
    0.84
    tons
    0.83
    %"
    0.83
    Activations Density 0.081%

    No Known Activations