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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9758
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    racuse
    -0.74
     Blaster
    -0.70
    \\\\\\\\
    -0.65
     Courier
    -0.65
     Conversation
    -0.62
    Adds
    -0.62
     Nose
    -0.60
     Temper
    -0.60
     Crush
    -0.59
    rick
    -0.59
    POSITIVE LOGITS
    hips
    1.09
    hip
    0.89
     belong
    0.82
    hops
    0.79
    isphere
    0.78
    folk
    0.77
    ettings
    0.74
     are
    0.73
    mith
    0.72
    poons
    0.71
    Activations Density 0.244%

    No Known Activations