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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. 9880
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    Explanations

    names of conferences and meetings

    oai_token-act-pair · gpt-3.5-turbo

    references to meetings and conferences

    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
     revenge
    -0.80
     deserts
    -0.69
    Ö
    -0.69
    utterstock
    -0.69
     spiral
    -0.68
     mars
    -0.68
    livion
    -0.67
     ruining
    -0.66
     havoc
    -0.66
     survives
    -0.66
    POSITIVE LOGITS
     attendees
    1.27
     keynote
    1.24
     Attend
    1.12
     chaired
    1.10
     convened
    1.07
     speakers
    1.04
     delegates
    1.02
     representatives
    1.02
     Representatives
    1.02
     discussing
    1.02
    Activations Density 0.426%

    No Known Activations