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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. 0-RES-JB
    11. 6865
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    Explanations

    proper nouns likely related to a geographical location

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or places, particularly related to "Montgomery."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     yo
    -0.63
     Rak
    -0.63
    ĸ
    -0.62
     Kejriwal
    -0.60
     ki
    -0.60
     Sakura
    -0.59
     ins
    -0.59
     Witness
    -0.59
     sound
    -0.59
     suck
    -0.59
    POSITIVE LOGITS
    mont
    4.38
    mount
    1.42
    Mont
    1.36
    MON
    1.28
    mond
    1.20
    mire
    1.18
    fort
    1.11
    mon
    1.08
     Mont
    1.07
    brook
    1.04
    Activations Density 0.013%

    No Known Activations