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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. 15622
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    Explanations

    references to sausages and related items

    oai_token-act-pair · gpt-3.5-turbo

    words related to food items, particularly sausages and types of diplomas

    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
    orns
    -0.86
    orne
    -0.74
    raham
    -0.72
    itates
    -0.72
    itating
    -0.71
     Norn
    -0.70
    riers
    -0.69
    ayers
    -0.68
    orn
    -0.68
    owner
    -0.67
    POSITIVE LOGITS
    abwe
    0.88
    ija
    0.85
    Downloadha
    0.83
     SIG
    0.81
    £ı
    0.80
    aceutical
    0.78
     Lavrov
    0.76
     Shooter
    0.76
     Launcher
    0.74
     Moz
    0.74
    Activations Density 0.012%

    No Known Activations