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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. 7-RES-JB
    11. 21599
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    Explanations

    words related to deception or incorrect information

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with misinformation or dubious content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ittee
    -0.71
    orah
    -0.71
    ossibility
    -0.67
    ulhu
    -0.66
    emis
    -0.66
    UME
    -0.65
    emi
    -0.64
    ften
    -0.64
    hung
    -0.63
    emate
    -0.63
    POSITIVE LOGITS
     amounts
    1.36
     quantities
    1.20
     doses
    1.12
     versions
    1.08
     portions
    1.00
     sums
    0.99
     kinds
    0.96
     copies
    0.95
     messages
    0.94
     scenarios
    0.93
    Activations Density 0.387%

    No Known Activations