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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. 4-RES-JB
    11. 2053
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    INDEX
    Explanations

    names of specific entities or locations

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with specific institutions, individuals, and food products

    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
    ffer
    -0.67
     zone
    -0.66
     Wolves
    -0.64
    POS
    -0.62
     Crescent
    -0.60
     swinging
    -0.60
     Asheville
    -0.59
    ffen
    -0.58
    inches
    -0.58
     Diablo
    -0.58
    POSITIVE LOGITS
    channelAvailability
    0.86
    orne
    0.83
     Nass
    0.78
    enegger
    0.77
    onson
    0.77
    daq
    0.77
    aji
    0.77
    tones
    0.76
    oros
    0.74
    ogram
    0.73
    Activations Density 0.023%

    No Known Activations