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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. 3-RES-JB
    11. 23639
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    source or recipient of information

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "from."

    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
    few
    -0.75
    faced
    -0.73
    priority
    -0.73
    rongh
    -0.70
    film
    -0.70
    needed
    -0.70
    isec
    -0.70
    bably
    -0.70
    merce
    -0.69
    facing
    -0.69
    POSITIVE LOGITS
     afar
    1.39
     whence
    1.14
     thence
    1.04
     abroad
    0.99
     scratch
    0.96
     inside
    0.90
     within
    0.84
     elsewhere
    0.84
     somewhere
    0.80
     anywhere
    0.80
    Activations Density 0.259%

    No Known Activations