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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. 6-RES-JB
    11. 10978
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    Explanations

    metrics related to power units, such as watts, gigawatts, megawatts, and milliwatts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to energy capacity and measurement units

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Akin
    -0.71
     Cantor
    -0.65
     Leilan
    -0.65
     Daly
    -0.64
    eer
    -0.62
     omission
    -0.61
     Treasurer
    -0.61
     Doodle
    -0.60
     Pride
    -0.60
     Fitzgerald
    -0.59
    POSITIVE LOGITS
    abytes
    1.10
    awatts
    0.97
    illion
    0.96
    abyte
    0.96
    pees
    0.93
     sq
    0.91
     cubic
    0.90
    undred
    0.88
    bps
    0.87
    ousand
    0.86
    Activations Density 0.091%

    No Known Activations