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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5562
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    Explanations

    text snippets related to numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values representing measurements or metrics

    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
    enges
    -0.66
     Lumpur
    -0.66
    awaru
    -0.66
    orative
    -0.66
    Downloadha
    -0.61
    opy
    -0.60
    utils
    -0.59
    inav
    -0.59
    ivating
    -0.58
    anty
    -0.56
    POSITIVE LOGITS
    st
    1.31
    Password
    1.26
    125
    1.24
    120
    1.20
    ½
    1.10
    âģ
    1.01
    128
    1.00
    000000
    1.00
    123
    0.93
    0000000
    0.84
    Activations Density 0.099%

    No Known Activations