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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. 2030
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    Explanations

    terms related to economic stimuli

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic stimulus

    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
     Hitch
    -0.74
     Patriarch
    -0.73
    rooms
    -0.69
    beard
    -0.68
     Poles
    -0.66
    aird
    -0.66
     Armenian
    -0.65
     Thousand
    -0.64
    ccording
    -0.64
     Moss
    -0.64
    POSITIVE LOGITS
    ulus
    1.12
     Stim
    1.09
     stimulate
    0.85
     stimulus
    0.84
     stimulates
    0.78
    manship
    0.77
    ilateral
    0.76
     stimulation
    0.76
     stimulating
    0.75
     stim
    0.75
    Activations Density 0.044%

    No Known Activations