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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. 9-RES-JB
    11. 14401
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    Explanations

    references to the Stanley Cup

    oai_token-act-pair · gpt-3.5-turbo

    references to the Stanley Cup

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ged
    -0.98
    eer
    -0.97
    ships
    -0.83
    Reviewer
    -0.83
    esis
    -0.78
    gem
    -0.78
    eers
    -0.77
    gel
    -0.75
    dress
    -0.75
    suit
    -0.75
    POSITIVE LOGITS
     Kubrick
    1.12
     Cup
    0.91
     Baldwin
    0.91
     Cups
    0.87
    lihood
    0.82
     Stanley
    0.75
     Trophy
    0.74
    thal
    0.72
    bilt
    0.71
     Stadium
    0.67
    Activations Density 0.041%

    No Known Activations