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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. 2011
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    Explanations

    adjectives related to behavior or personality traits

    oai_token-act-pair · gpt-3.5-turbo

    words related to strong warnings or admonitions

    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
    Downloadha
    -0.88
    akeru
    -0.81
    ETF
    -0.78
    RESULTS
    -0.73
    iphate
    -0.73
    Winner
    -0.71
    Journal
    -0.68
    WAYS
    -0.66
    journal
    -0.65
    xtap
    -0.65
    POSITIVE LOGITS
     stern
    0.97
    ly
    0.95
     rebuke
    0.83
     discipl
    0.78
    gest
    0.78
     reprim
    0.76
    unci
    0.74
    faced
    0.73
    stem
    0.72
     demeanor
    0.72
    Activations Density 0.013%

    No Known Activations