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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. 3-RES-JB
    6. 6
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exceeds
    -0.70
     beforehand
    -0.69
     besides
    -0.67
     understands
    -0.67
    craft
    -0.67
    each
    -0.66
    ago
    -0.66
    thood
    -0.65
    abuse
    -0.65
     assumes
    -0.64
    POSITIVE LOGITS
     easiest
    1.20
     strongest
    1.10
     same
    1.09
     hottest
    1.08
     fastest
    1.05
     simplest
    1.05
     hardest
    1.02
     safest
    1.02
    oret
    1.01
     biggest
    1.01
    Activations Density 0.506%

    No Known Activations