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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. 22931
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    Explanations

    images or individuals in descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to images or being depicted in a visual context

    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
    ance
    -0.71
     wake
    -0.70
     constitu
    -0.70
    ament
    -0.69
    ced
    -0.65
     systematic
    -0.62
     lull
    -0.62
    lins
    -0.61
    cession
    -0.60
    wake
    -0.60
    POSITIVE LOGITS
    pictured
    1.15
     pictured
    1.00
    above
    0.90
     Pict
    0.82
    below
    0.81
    swick
    0.79
     Thumbnails
    0.79
    assetsadobe
    0.75
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.75
    amera
    0.72
    Activations Density 0.012%

    No Known Activations