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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. 1-RES-JB
    6. 14884
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    Explanations

    references to the term "Fish" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Fish."

    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
     DRM
    -0.64
     clipboard
    -0.64
     PE
    -0.62
     judgement
    -0.61
     Rahul
    -0.60
     debtor
    -0.60
     determined
    -0.60
     lecture
    -0.59
     currencies
    -0.59
     unpaid
    -0.59
    POSITIVE LOGITS
     Fish
    1.27
    Fish
    1.19
    bowl
    0.99
    fish
    0.97
    tails
    0.90
    adelphia
    0.89
    meat
    0.88
    ascript
    0.86
    tail
    0.85
     Whale
    0.85
    Activations Density 0.005%

    No Known Activations