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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
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    Explanations

    mentions of geographical locations, particularly natural parks

    oai_token-act-pair · gpt-3.5-turbo

    the mention of "Algonquin Provincial Park."

    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
     Bears
    -0.78
     confir
    -0.71
     Browns
    -0.66
     McGr
    -0.66
     Pry
    -0.66
     Tripoli
    -0.65
     Mavericks
    -0.65
     VM
    -0.64
     disapp
    -0.64
    mouth
    -0.64
    POSITIVE LOGITS
    quin
    2.36
    mong
    1.53
    Med
    1.24
    ugen
    1.22
    imer
    1.21
     Rosa
    1.21
    iji
    1.13
    ARE
    1.12
    imar
    1.06
    iod
    1.04
    Activations Density 0.065%

    No Known Activations