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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. 1-RES-JB
    11. 21389
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    Explanations

    phrases related to falsehoods or untruths

    oai_token-act-pair · gpt-3.5-turbo

    statements or claims labeled as false

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hens
    -0.95
    mun
    -0.93
    APTER
    -0.80
    krit
    -0.80
    Street
    -0.77
    NetMessage
    -0.77
    hetti
    -0.76
     guiActiveUnfocused
    -0.75
    ded
    -0.73
    Stars
    -0.73
    POSITIVE LOGITS
     false
    1.14
    false
    0.97
     falsely
    0.95
    False
    0.89
     FALSE
    0.86
     False
    0.84
     guiActiveUn
    0.84
     accuser
    0.83
     fals
    0.82
     falsehood
    0.81
    Activations Density 0.017%

    No Known Activations