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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. 4-RES-JB
    6. 21065
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    Explanations

    references to locations or places, particularly those with the word "wood" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or entities associated with the term "wood."

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

    No Comments

    Negative Logits
     polar
    -0.85
    orsche
    -0.68
     superhuman
    -0.67
    oresc
    -0.65
    utations
    -0.65
    ional
    -0.64
    tered
    -0.63
     obese
    -0.63
     kindred
    -0.63
     emanc
    -0.62
    POSITIVE LOGITS
    wood
    1.05
    mere
    1.05
     Springs
    0.92
    leigh
    0.91
    stock
    0.90
    seed
    0.90
    hurst
    0.89
    vale
    0.88
     Preferred
    0.87
    working
    0.85
    Activations Density 0.012%

    No Known Activations