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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. 23924
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    INDEX
    Explanations

    words related to persistent threats or challenges

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate ongoing or persistent conditions or situations

    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
    dor
    -0.87
    quarters
    -0.81
    dylib
    -0.78
    MENTS
    -0.77
    baum
    -0.75
    omsky
    -0.75
    ocard
    -0.73
    lda
    -0.73
    rome
    -0.73
    ocene
    -0.72
    POSITIVE LOGITS
    motion
    1.10
     barrage
    1.08
     stream
    1.03
     churn
    0.98
     vigilance
    0.98
     reminder
    0.97
     repetition
    0.96
     striving
    0.94
     reminders
    0.93
     reminding
    0.90
    Activations Density 0.074%

    No Known Activations