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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. 808
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    Explanations

    words related to natural resources like sand, tar, oil, and reserves

    oai_token-act-pair · gpt-3.5-turbo

    terms related to natural resources, particularly focusing on oil and tar sands

    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
    thumbnails
    -0.74
    OVA
    -0.71
    incarn
    -0.69
    ulus
    -0.68
    Lear
    -0.66
    iffe
    -0.65
    LE
    -0.65
    Attempts
    -0.65
    --+
    -0.64
    ATH
    -0.64
    POSITIVE LOGITS
    cape
    1.08
    mith
    0.97
    hare
    0.93
    creen
    0.88
    afety
    0.84
    ystem
    0.83
    ourcing
    0.79
    heet
    0.78
    agascar
    0.78
    wana
    0.78
    Activations Density 0.135%

    No Known Activations