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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. 4-RES-JB
    11. 9453
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    Explanations

    references to specific incidents or events, likely related to security or law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific brand or product

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

    No Comments

    Negative Logits
    ãĥĥãĥĪ
    -0.87
    ĸļ
    -0.80
    vironment
    -0.76
    ĪĴ
    -0.73
     Incarnation
    -0.70
    naissance
    -0.68
    âĸ¬âĸ¬
    -0.66
    */(
    -0.65
    İĭ
    -0.64
    otype
    -0.64
    POSITIVE LOGITS
    atial
    1.09
    acious
    1.02
    acer
    1.02
    iegel
    1.00
    aces
    0.99
    ooky
    0.96
    onge
    0.95
    aghetti
    0.94
    itt
    0.94
    okes
    0.93
    Activations Density 0.015%

    No Known Activations