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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. 21187
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    Explanations

    words related to locations or settings, especially sentences mentioning specific places

    oai_token-act-pair · gpt-3.5-turbo

    locations or settings within a narrative

    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
    heastern
    -0.84
    ifax
    -0.74
     applicable
    -0.73
     referen
    -0.72
     orally
    -0.71
     administr
    -0.70
    umbnails
    -0.70
    lessly
    -0.70
    anton
    -0.69
    alist
    -0.69
    POSITIVE LOGITS
     Chains
    1.22
     Skies
    1.14
     Walls
    1.12
     Pieces
    1.11
     Wheels
    1.10
     Wonderland
    1.10
     Lines
    1.09
     Mountains
    1.08
     Eternity
    1.08
     Motion
    1.07
    Activations Density 0.131%

    No Known Activations