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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. 3-RES-JB
    11. 16459
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    Explanations

    words related to legal proceedings and agreements

    oai_token-act-pair · gpt-3.5-turbo

    words related to agreement and accusation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TOP
    -0.98
    ETF
    -0.82
    swick
    -0.81
    DCS
    -0.81
    REDACTED
    -0.79
     Tycoon
    -0.79
    TOR
    -0.77
    nz
    -0.76
    çīĪ
    -0.76
    bane
    -0.75
    POSITIVE LOGITS
     affirmative
    1.03
    irmation
    0.93
    terday
    0.80
     imperative
    0.78
     pronoun
    0.78
     affirm
    0.77
     Spock
    0.72
     screening
    0.72
     affirmation
    0.71
    --+
    0.70
    Activations Density 0.011%

    No Known Activations