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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. 2-RES-JB
    11. 1600
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    Explanations

    specific references to previously mentioned entities

    oai_token-act-pair · gpt-3.5-turbo

    references to previously mentioned entities or items in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ared
    -0.72
    airs
    -0.70
    born
    -0.69
     Pike
    -0.67
    vere
    -0.66
    romy
    -0.66
    talk
    -0.66
    redit
    -0.65
    Tele
    -0.65
    annis
    -0.65
    POSITIVE LOGITS
     aforementioned
    0.81
    mentioned
    0.75
     mentioned
    0.73
    aurus
    0.71
    querque
    0.69
     disclaimer
    0.68
     caveats
    0.67
     villain
    0.65
     culprit
    0.64
    ãĤ½
    0.64
    Activations Density 0.008%

    No Known Activations