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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. 2654
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    Explanations

    words related to constraints or limitations

    oai_token-act-pair · gpt-3.5-turbo

    words related to negative connotations and conditions

    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
     Norn
    -0.74
    TPS
    -0.70
    baugh
    -0.68
    assetsadobe
    -0.66
    HAEL
    -0.65
     Decay
    -0.64
    ewski
    -0.63
     Shades
    -0.62
    terday
    -0.61
    lihood
    -0.59
    POSITIVE LOGITS
    gru
    1.14
    clusively
    1.08
    clave
    1.04
    undrum
    1.02
    formance
    0.98
    joined
    0.97
    gres
    0.96
    ventional
    0.96
    naissance
    0.96
    venient
    0.95
    Activations Density 0.008%

    No Known Activations