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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. 19814
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    Explanations

    terms related to data or content loading

    oai_token-act-pair · gpt-3.5-turbo

    references to "load" in various contexts, particularly related to computing or performance

    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
    ces
    -0.79
    icho
    -0.79
    Ĭ±
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    perty
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    esan
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    apolis
    -0.71
    cko
    -0.70
    pai
    -0.69
    cled
    -0.65
    opausal
    -0.64
    POSITIVE LOGITS
     loads
    1.02
     load
    1.02
    load
    0.91
    loads
    0.90
     Load
    0.88
    strap
    0.86
    loading
    0.86
     loader
    0.84
    enger
    0.82
    owship
    0.82
    Activations Density 0.024%

    No Known Activations