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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. 1-RES-JB
    11. 21135
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    Explanations

    mentions of various types of stones

    oai_token-act-pair · gpt-3.5-turbo

    references to stones, both in a metaphorical and literal sense

    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
    unct
    -0.72
    ORN
    -0.69
    TI
    -0.66
    Oracle
    -0.66
    ITAL
    -0.65
    uate
    -0.63
    RH
    -0.63
    aird
    -0.62
     Nebraska
    -0.61
    LIN
    -0.61
    POSITIVE LOGITS
     Stones
    1.34
     stones
    1.25
    tones
    1.19
    ongs
    1.04
    stones
    1.03
    aurus
    1.02
    hift
    1.01
    mith
    0.94
    pec
    0.92
    peed
    0.89
    Activations Density 0.014%

    No Known Activations