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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. 2-RES-JB
    11. 6306
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    INDEX
    Explanations

    statements emphasizing the necessity or obligation of certain actions

    oai_token-act-pair · gpt-3.5-turbo

    mandatory or essential statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.70
    vertisements
    -0.69
    iency
    -0.67
     Hamp
    -0.63
    versions
    -0.62
     Launcher
    -0.62
    gdala
    -0.61
     Laden
    -0.61
    foreseen
    -0.60
     Atmosp
    -0.59
    POSITIVE LOGITS
     obey
    1.00
     reproduce
    0.92
     be
    0.86
     surely
    0.85
     abide
    0.83
     comply
    0.83
     undergo
    0.76
     adhere
    0.76
     unavoid
    0.76
    %%%%
    0.76
    Activations Density 0.027%

    No Known Activations