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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. 11203
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    Explanations

    numerical values in a specific range

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "19" in various contexts

    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
     Lumpur
    -0.81
    awaru
    -0.73
    orative
    -0.67
    espie
    -0.66
    ategory
    -0.64
     millenn
    -0.64
    folk
    -0.64
     hygiene
    -0.62
    iage
    -0.62
    thinkable
    -0.60
    POSITIVE LOGITS
    Password
    1.31
    125
    1.23
    st
    1.22
    120
    1.21
    ½
    1.07
    000000
    1.00
    128
    0.99
    0000000
    0.92
    âģ
    0.88
    GB
    0.87
    Activations Density 0.094%

    No Known Activations