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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. 3-RES-JB
    11. 18522
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to professional licensing and credentials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arsity
    -0.78
    adra
    -0.76
    antics
    -0.75
    wered
    -0.73
    wart
    -0.70
    hole
    -0.69
     Cthulhu
    -0.69
    oids
    -0.69
    ngth
    -0.69
    bows
    -0.68
    POSITIVE LOGITS
     licensed
    0.99
    licensed
    0.89
     tradem
    0.88
     licensing
    0.83
     licenses
    0.83
     practition
    0.81
     volunte
    0.78
     firearms
    0.77
     premises
    0.74
     interpreting
    0.73
    Activations Density 0.025%

    No Known Activations