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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. 2-RES-JB
    11. 15799
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    Explanations

    phrases describing implications or consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thumbnails
    -0.82
    mens
    -0.81
    oos
    -0.77
    cart
    -0.73
    dem
    -0.69
    imb
    -0.68
    Newsletter
    -0.67
    taboola
    -0.66
    oked
    -0.65
    oard
    -0.64
    POSITIVE LOGITS
    terday
    1.11
    hift
    1.03
     Lans
    0.73
    paces
    0.69
     ±
    0.68
     meant
    0.65
    swers
    0.62
     unlucky
    0.62
     means
    0.61
    ãĥĨãĤ£
    0.60
    Activations Density 0.033%

    No Known Activations