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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. 1-RES-JB
    11. 23147
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    Explanations

    references to toys, such as toy names or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to toys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idency
    -0.75
    uncture
    -0.73
    xual
    -0.67
     climates
    -0.65
     vitri
    -0.65
     prevailing
    -0.65
     lapse
    -0.65
     distrust
    -0.64
     polarized
    -0.63
     rainy
    -0.62
    POSITIVE LOGITS
     toy
    1.08
     toys
    1.05
    ledged
    0.99
     Toys
    0.91
     Crate
    0.84
    slot
    0.82
    ãĤ´
    0.80
    haus
    0.79
    lington
    0.79
    ulus
    0.78
    Activations Density 0.008%

    No Known Activations