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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. 6-RES-JB
    11. 1537
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    Explanations

    references to specific technical terms related to computer logging and networks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of different log levels in a logging system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.98
    theless
    -0.76
    xual
    -0.71
    HAEL
    -0.67
    ãĥĨãĤ£
    -0.66
    ETHOD
    -0.62
    riages
    -0.62
     oun
    -0.62
    9999
    -0.60
     Kimmel
    -0.59
    POSITIVE LOGITS
    gers
    1.37
    ging
    1.34
    istics
    1.23
    istical
    1.18
    istically
    1.12
    ged
    1.10
    itech
    1.06
    ger
    1.06
    lio
    0.99
    istic
    0.98
    Activations Density 0.015%

    No Known Activations