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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. 21466
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    Explanations

    terms related to advocacy and lobbying

    oai_token-act-pair · gpt-3.5-turbo

    terms related to advocacy and related efforts in various contexts

    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
    ellar
    -0.81
    ifiers
    -0.78
    ifier
    -0.74
    ochet
    -0.74
    added
    -0.72
    clus
    -0.71
    ened
    -0.70
    izers
    -0.69
    olen
    -0.69
    ix
    -0.68
    POSITIVE LOGITS
     efforts
    0.95
     techniques
    0.93
     prowess
    0.88
     effort
    0.86
     tactics
    0.85
     activities
    0.84
     tools
    0.83
     strategies
    0.83
     capabilities
    0.82
     technique
    0.81
    Activations Density 0.121%

    No Known Activations