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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. 8-RES-JB
    11. 9496
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    INDEX
    Explanations

    modal verbs indicating obligation or necessity

    oai_token-act-pair · gpt-3.5-turbo

    imperative statements or commands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Trop
    -0.67
    vironment
    -0.66
     Hamp
    -0.65
    LP
    -0.63
     TED
    -0.63
     Yas
    -0.62
     Niet
    -0.61
     Laden
    -0.61
     Lad
    -0.60
     Nob
    -0.60
    POSITIVE LOGITS
     obey
    1.02
     abide
    1.00
     comply
    0.96
    ered
    0.95
     adhere
    0.93
    aches
    0.93
     endure
    0.91
     be
    0.90
    ering
    0.89
     overcome
    0.89
    Activations Density 0.047%

    No Known Activations