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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. 6-RES-JB
    11. 17632
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    Explanations

    mentions of press conferences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the indefinite articles "a" and "an" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    coins
    -0.74
    docs
    -0.72
     Amend
    -0.70
     juices
    -0.66
    Frameworks
    -0.66
     fonts
    -0.64
     amounts
    -0.64
    Ingredients
    -0.64
    facts
    -0.64
    alties
    -0.62
    POSITIVE LOGITS
     meeting
    0.95
     conference
    0.92
     session
    0.89
     reunion
    0.88
     lecture
    0.86
     demonstration
    0.86
     recent
    0.84
     standoff
    0.83
     glance
    0.83
     ceremony
    0.83
    Activations Density 0.107%

    No Known Activations