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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. 1-RES-JB
    11. 11321
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    Explanations

    people's names with the pattern of having high activation for the last few characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, likely names of people or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     adversaries
    -0.78
     mosqu
    -0.71
     misdem
    -0.69
     unnecess
    -0.68
     cell
    -0.67
     adversary
    -0.66
     predec
    -0.66
     neut
    -0.66
     tenants
    -0.65
     livest
    -0.65
    POSITIVE LOGITS
    gomery
    1.22
    kefeller
    1.15
    ortment
    1.07
    colm
    1.06
    icago
    0.97
    hower
    0.97
    irez
    0.96
    terday
    0.94
    iard
    0.93
    riott
    0.92
    Activations Density 0.073%

    No Known Activations