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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
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    Explanations

    mentions of a specific word, "Fish", possibly related to Fish and Wildlife departments or topics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Fish" in various contexts

    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
    iating
    -0.67
     transformer
    -0.66
     gravity
    -0.66
     KKK
    -0.66
     CPC
    -0.66
     judgement
    -0.64
     directions
    -0.63
     analges
    -0.62
     clipboard
    -0.62
     english
    -0.62
    POSITIVE LOGITS
    tails
    1.04
     Fish
    1.04
    Fish
    0.97
    tail
    0.95
    tin
    0.89
    bowl
    0.89
    adelphia
    0.88
    flies
    0.88
    tailed
    0.88
    meat
    0.87
    Activations Density 0.012%

    No Known Activations