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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. 9-RES-JB
    11. 17747
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    Explanations

    terms related to user behavior or interaction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to users and voters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mith
    -0.89
     Maiden
    -0.82
    uits
    -0.80
    orem
    -0.78
    orie
    -0.76
    heast
    -0.75
    chool
    -0.75
    ophers
    -0.75
    hirt
    -0.74
    unda
    -0.72
    POSITIVE LOGITS
     satisfaction
    1.07
     engagement
    1.00
    hood
    0.97
     dissatisfaction
    0.96
     interaction
    0.94
     participation
    0.94
     perceptions
    0.93
     involvement
    0.91
     welfare
    0.88
     perception
    0.88
    Activations Density 0.151%

    No Known Activations