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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. 4-RES-JB
    11. 2038
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    Explanations

    specific locations, especially places like buildings or rooms, particularly emphasizing the word "hall"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hall."

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

    No Comments

    Negative Logits
     Annotations
    -0.67
     Latest
    -0.67
    uyomi
    -0.67
    ossibility
    -0.66
    EED
    -0.65
    vernment
    -0.63
    olitics
    -0.62
     Copy
    -0.62
     Him
    -0.60
     Reload
    -0.60
    POSITIVE LOGITS
    ways
    1.33
    marks
    1.23
    owed
    1.18
    iday
    1.13
     hall
    1.12
    way
    1.10
    ibur
    1.05
    WAY
    1.01
    ows
    0.99
    fare
    0.97
    Activations Density 0.010%

    No Known Activations