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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. 9-RES-JB
    11. 23973
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    Explanations

    keywords related to the design or construction of systems or objects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to construction, design, or creation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.87
    akia
    -0.69
    afa
    -0.66
     Carbuncle
    -0.60
    iyah
    -0.58
    acks
    -0.58
    rium
    -0.58
    aura
    -0.57
     Column
    -0.56
    ierra
    -0.56
    POSITIVE LOGITS
     differently
    1.29
     expressly
    0.88
     accordingly
    0.85
    ependent
    0.84
     consciously
    0.83
    urally
    0.82
     squarely
    0.82
     solely
    0.82
     externally
    0.82
     geographically
    0.80
    Activations Density 0.276%

    No Known Activations