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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
    11. 18301
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    Explanations

    time and location information

    oai_token-act-pair · gpt-3.5-turbo

    specific time-related and locational information

    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
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    No Comments

    Negative Logits
    TPPStreamerBot
    -0.67
     rigging
    -0.64
    ensional
    -0.63
     surfing
    -0.62
    stad
    -0.60
    netflix
    -0.59
    cffffcc
    -0.57
    Shape
    -0.57
     barking
    -0.56
     volunt
    -0.56
    POSITIVE LOGITS
    ONSORED
    0.77
    fw
    0.76
    Ky
    0.67
    jri
    0.65
    cknowled
    0.64
    resy
    0.63
     Lowry
    0.62
    .),
    0.61
    mun
    0.60
    /.
    0.59
    Activations Density 1.146%

    No Known Activations