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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. 0-RES-JB
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    Explanations

    mentions of migrants

    oai_token-act-pair · gpt-3.5-turbo

    references to migrants and migration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    puter
    -0.75
    BAT
    -0.74
    onent
    -0.70
     OU
    -0.68
     Leonard
    -0.66
    ery
    -0.66
     Tinker
    -0.65
     Osh
    -0.63
    leon
    -0.63
     Staples
    -0.62
    POSITIVE LOGITS
     migrants
    3.64
     migrant
    2.96
     immigrants
    2.09
     refugees
    2.03
    igrants
    1.98
     migration
    1.84
     Migration
    1.67
     Refugees
    1.65
    igrant
    1.58
     travellers
    1.58
    Activations Density 0.021%

    No Known Activations