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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. 4-RES-JB
    11. 2786
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    Explanations

    keywords related to deception, specifically hoaxes and pranks

    oai_token-act-pair · gpt-3.5-turbo

    references to hoaxes and pranks

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

    No Comments

    Negative Logits
    oyal
    -0.69
    haps
    -0.67
     obligated
    -0.65
    ailable
    -0.65
     Borders
    -0.64
    arching
    -0.63
    stood
    -0.63
    frames
    -0.62
    poon
    -0.62
    %"
    -0.62
    POSITIVE LOGITS
     hoax
    1.14
    sters
    0.99
    ulence
    0.91
    ument
    0.83
    ishly
    0.81
     perpetrated
    0.79
    erella
    0.78
    ²¾
    0.77
    soDeliveryDate
    0.77
    gee
    0.74
    Activations Density 0.018%

    No Known Activations