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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13380
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    oai_token-act-pair · gpt-3.5-turbo

    references to laws and legal concepts

    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
     Remastered
    -0.82
     Dak
    -0.76
     Cros
    -0.70
     Pocket
    -0.69
    attery
    -0.67
     Flavoring
    -0.67
     Mul
    -0.67
    hiba
    -0.65
     retina
    -0.64
     Ports
    -0.62
    POSITIVE LOGITS
    lessness
    1.18
     enforcement
    1.12
    suit
    1.11
    breakers
    1.04
    rences
    1.02
    enforcement
    1.01
    suits
    1.00
     abiding
    0.99
    yer
    0.97
     Enforcement
    0.95
    Activations Density 0.040%

    No Known Activations