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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. 21270
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    INDEX
    Explanations

    keywords related to specific locations, particularly houses or establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "House" followed by numerical designations

    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
    razil
    -0.73
     clipboard
    -0.71
    iation
    -0.66
    ces
    -0.63
    ially
    -0.63
    oshop
    -0.63
     tolerance
    -0.62
     DPR
    -0.61
    ISO
    -0.60
    ilitary
    -0.60
    POSITIVE LOGITS
    wives
    1.35
    wife
    1.29
    keeping
    0.90
    House
    0.90
    warming
    0.89
    cle
    0.85
    holders
    0.84
    hold
    0.84
    holder
    0.83
    plant
    0.82
    Activations Density 0.021%

    No Known Activations