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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. 6-RES-JB
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    INDEX
    Explanations

    mentions of beliefs and beliefs-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to beliefs and belief systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apeake
    -0.75
    agher
    -0.73
    hire
    -0.70
     Mamm
    -0.69
    assetsadobe
    -0.69
    bye
    -0.69
    xon
    -0.66
    ogle
    -0.66
    Interstitial
    -0.66
     Mek
    -0.64
    POSITIVE LOGITS
    ieve
    0.99
     belief
    0.93
     beliefs
    0.92
    fulness
    0.87
     Belief
    0.81
    lessness
    0.80
     faith
    0.76
    tymology
    0.73
    ieving
    0.73
    ullah
    0.73
    Activations Density 0.030%

    No Known Activations