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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. 6-RES-JB
    11. 584
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    Explanations

    knowledge-related terms or phrases

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs and phrases indicating knowledge, probability, and obligations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stretch
    -0.63
    politics
    -0.62
    polit
    -0.62
    mson
    -0.61
    anish
    -0.59
    enge
    -0.58
    /+
    -0.58
     Adds
    -0.58
     SPD
    -0.57
    sche
    -0.57
    POSITIVE LOGITS
     nonetheless
    0.87
     nevertheless
    0.87
     themselves
    0.78
    ŃĶ
    0.77
     likewise
    0.76
    Ĥİ
    0.76
     losers
    0.74
     experiencing
    0.72
     attest
    0.71
     ineligible
    0.70
    Activations Density 0.482%

    No Known Activations