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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. 11-RES-JB
    11. 7755
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    INDEX
    Explanations

    numerical values related to weights and dimensions

    oai_token-act-pair · gpt-3.5-turbo

    measurements and specifications related to weight and capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kus
    -0.64
    issance
    -0.62
    plet
    -0.62
    rique
    -0.61
    thia
    -0.61
    iership
    -0.61
    alus
    -0.61
    ĪĴ
    -0.59
    vell
    -0.59
    rete
    -0.58
    POSITIVE LOGITS
     varies
    1.14
    :
    1.09
    *:
    0.95
     =
    0.94
    %:
    0.90
     :
    0.89
     TBD
    0.88
    :'
    0.87
     Range
    0.86
    =$
    0.86
    Activations Density 0.174%

    No Known Activations