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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. 3763
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    INDEX
    Explanations

    mentions of falsehoods or untruths

    oai_token-act-pair · gpt-3.5-turbo

    references to falsehoods or misinformation

    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
    obs
    -0.91
    aldi
    -0.85
    iles
    -0.84
    aud
    -0.79
    joining
    -0.78
    ilar
    -0.74
    inky
    -0.73
    ilation
    -0.71
    ains
    -0.70
    orsi
    -0.70
    POSITIVE LOGITS
    uten
    0.94
     detector
    0.83
     Lies
    0.82
    lie
    0.81
     lie
    0.77
    \\\\\\\\
    0.74
     lies
    0.73
     liar
    0.71
    acies
    0.71
     deceit
    0.69
    Activations Density 0.011%

    No Known Activations