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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. 23432
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    Explanations

    phrases indicating a continuous narrative or following sequence of events

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "After all" suggesting a conclusion or summary

    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
     Loft
    -0.70
    rouse
    -0.70
    MpServer
    -0.63
    channelAvailability
    -0.62
     streng
    -0.60
     sep
    -0.60
     magnet
    -0.58
    MX
    -0.58
    aird
    -0.57
    RL
    -0.56
    POSITIVE LOGITS
    iances
    0.85
    ying
    0.81
     else
    0.78
    ocating
    0.74
    igators
    0.73
    tests
    0.73
    ional
    0.70
    tz
    0.69
    iance
    0.68
    ogene
    0.67
    Activations Density 0.030%

    No Known Activations