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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. 7-RES-JB
    11. 8985
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    Explanations

    words related to the action of using guns or hunting

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.84
    rehensive
    -0.84
    reon
    -0.82
    ublic
    -0.82
    irlf
    -0.81
    ensable
    -0.76
    rolog
    -0.75
     Leilan
    -0.73
    Torrent
    -0.70
    ROM
    -0.70
    POSITIVE LOGITS
    ning
    1.09
    ned
    0.99
    brook
    0.87
    stocks
    0.83
    alties
    0.82
    aturally
    0.77
    ham
    0.74
    fold
    0.74
    ominated
    0.74
    nings
    0.74
    Activations Density 0.032%

    No Known Activations