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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

    names of specific establishments or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and titles of entities, particularly focusing on "Lion" and related characters or themes

    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
     uranium
    -0.78
     rehe
    -0.74
     ATF
    -0.72
     gas
    -0.72
     abortion
    -0.72
     opioid
    -0.71
     epid
    -0.69
     exch
    -0.67
    ENTS
    -0.67
     deg
    -0.67
    POSITIVE LOGITS
     Lion
    3.86
     Leopard
    1.72
     Canary
    1.43
     Owl
    1.38
     Unicorn
    1.20
     Monkey
    1.19
     Shepherd
    1.12
     Sheep
    1.12
     Jelly
    1.10
     Elephant
    1.07
    Activations Density 0.029%

    No Known Activations