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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

    references to the word "bear" in different contexts, such as the animal, bearing arms, or the act of carrying

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "bear."

    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
    uates
    -0.70
    istry
    -0.69
    Posts
    -0.66
    lessly
    -0.66
    nces
    -0.63
    ###
    -0.61
    andi
    -0.61
    ECH
    -0.61
     Caf
    -0.61
    classes
    -0.60
    POSITIVE LOGITS
     bear
    4.07
     bears
    2.59
    bear
    2.27
     Bear
    2.24
    Bear
    2.07
     borne
    1.48
     grizz
    1.41
     Bears
    1.40
     bore
    1.30
     bearing
    1.27
    Activations Density 0.014%

    No Known Activations