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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. 3-RES-JB
    11. 16545
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     affirmative
    -0.62
     potency
    -0.61
     undermin
    -0.61
     millenn
    -0.60
    Copyright
    -0.60
    ccording
    -0.59
    imity
    -0.58
    ecause
    -0.58
     constit
    -0.58
     "{
    -0.57
    POSITIVE LOGITS
    ger
    0.99
    GER
    0.91
    gers
    0.85
    affe
    0.84
    rier
    0.83
    bling
    0.82
    rors
    0.79
    adish
    0.78
    rants
    0.76
    vill
    0.73
    Activations Density 0.017%

    No Known Activations