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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. 17642
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    INDEX
    Explanations

    names of people being appointed to positions or roles

    oai_token-act-pair · gpt-3.5-turbo

    references to formal appointments or roles

    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
    patch
    -0.98
    olver
    -0.74
    FACE
    -0.70
    Commercial
    -0.68
    fal
    -0.68
    WAR
    -0.67
    λ
    -0.67
    1800
    -0.65
    Pear
    -0.65
    RESULTS
    -0.63
    POSITIVE LOGITS
     appoint
    1.07
     appointed
    1.02
     appointments
    0.97
    ancies
    0.89
     appointing
    0.85
     appointment
    0.83
    ointed
    0.81
     commissions
    0.80
    vind
    0.78
     "$:/
    0.77
    Activations Density 0.018%

    No Known Activations