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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. 8-RES-JB
    11. 6881
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    Explanations

    phrases related to economic and societal hardship

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to social and economic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.72
    ocular
    -0.70
    Commission
    -0.70
    ILA
    -0.68
    Ô
    -0.63
    ovo
    -0.63
    ãĥĥãĥĪ
    -0.62
    OPLE
    -0.61
    oyer
    -0.61
    operation
    -0.59
    POSITIVE LOGITS
     due
    0.85
     exacerb
    0.78
     crippling
    0.77
     exacerbated
    0.77
     starving
    0.76
     starvation
    0.75
     Unable
    0.74
     blight
    0.74
    .;
    0.73
     dangerously
    0.73
    Activations Density 0.732%

    No Known Activations