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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. 16718
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    Explanations

    specific references related to firearms

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Kalashnikov" and its associated products

    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
    ãĥ¼ãĥĨãĤ£
    -0.76
    åij
    -0.68
    AGE
    -0.66
    ãģį
    -0.63
     degrade
    -0.59
     halftime
    -0.59
     broken
    -0.58
     fright
    -0.58
    IBLE
    -0.57
    UCT
    -0.57
    POSITIVE LOGITS
    amaz
    1.41
    adesh
    1.37
    endar
    1.10
    inda
    1.04
    endars
    1.01
    arov
    1.00
    vin
    1.00
    ibr
    1.00
    tering
    0.99
    iev
    0.94
    Activations Density 0.017%

    No Known Activations