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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. 9-RES-JB
    11. 23466
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    Explanations

    names of individuals along with their associated roles or titles

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or characters in narrative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chemicals
    -0.60
     advantageous
    -0.59
     mathemat
    -0.59
     debilitating
    -0.58
     fossils
    -0.58
     microscope
    -0.57
     needles
    -0.57
     depreciation
    -0.57
     diseases
    -0.57
     furnace
    -0.56
    POSITIVE LOGITS
    .</
    0.89
    .<
    0.87
     âĺ
    0.86
     (@
    0.86
    ↵Âł
    0.86
     ðŁij
    0.86
    `.
    0.84
    [/
    0.83
    EStreamFrame
    0.83
    Redditor
    0.81
    Activations Density 0.481%

    No Known Activations