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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. 22465
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    Explanations

    references to cameras

    oai_token-act-pair · gpt-3.5-turbo

    references to cameras and filming equipment

    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
     nomine
    -0.78
    hips
    -0.73
    olesterol
    -0.70
     enriched
    -0.69
    xual
    -0.69
    velength
    -0.69
    theless
    -0.69
     antibodies
    -0.69
    ertodd
    -0.67
     antioxid
    -0.67
    POSITIVE LOGITS
    oufl
    0.92
    els
    0.92
     cam
    0.86
    lp
    0.81
    aign
    0.80
    ocular
    0.79
    per
    0.78
    elia
    0.78
    otor
    0.78
    ot
    0.78
    Activations Density 0.005%

    No Known Activations