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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. 23109
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    Explanations

    words related to deception and trickery

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with deception and being fooled

    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
    ials
    -0.77
    lined
    -0.69
    iaries
    -0.67
     Parenthood
    -0.61
    burgh
    -0.61
    area
    -0.61
    Issue
    -0.60
    oran
    -0.60
    nan
    -0.60
    ne
    -0.60
    POSITIVE LOGITS
     fooled
    0.91
    eering
    0.86
    ery
    0.86
     deceive
    0.86
    querade
    0.84
    tale
    0.84
    xtap
    0.83
    ibility
    0.83
    ERY
    0.82
    uration
    0.82
    Activations Density 0.127%

    No Known Activations