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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. 8-RES-JB
    11. 545
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    Explanations

    objects or actions related to manual tasks or transactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to objects, transactions, and legal matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urches
    -0.91
    itudes
    -0.82
     corridors
    -0.76
    rencies
    -0.76
     constituencies
    -0.76
     channels
    -0.75
     sects
    -0.74
     establishments
    -0.74
     avenues
    -0.74
    ernels
    -0.74
    POSITIVE LOGITS
     someday
    0.85
     apiece
    0.80
     berth
    0.78
    alyst
    0.77
     somewhere
    0.76
    ogram
    0.75
    breaker
    0.75
    ful
    0.75
    atical
    0.75
     nucleus
    0.74
    Activations Density 0.526%

    No Known Activations