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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. 5231
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    Explanations

    phrases related to deception and dishonesty

    oai_token-act-pair · gpt-3.5-turbo
    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
    gard
    -0.83
    gdala
    -0.82
    rontal
    -0.77
    waukee
    -0.75
    instein
    -0.73
    ctuary
    -0.72
    interrupted
    -0.70
    inav
    -0.69
    stead
    -0.67
    restricted
    -0.67
    POSITIVE LOGITS
     falsely
    0.89
     claims
    0.82
     facts
    0.81
     identities
    0.78
     fictitious
    0.78
     identity
    0.77
     omission
    0.77
     billing
    0.77
     accounting
    0.76
     false
    0.75
    Activations Density 0.391%

    No Known Activations