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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. 12763
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    Explanations

    words related to negotiations, plans, concerns, and arrangements

    oai_token-act-pair · gpt-3.5-turbo

    words related to uncertainty or hope in contexts of discussion and negotiation

    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
    DA
    -0.67
     Wonders
    -0.63
    ovie
    -0.62
     olds
    -0.61
    endment
    -0.60
    purpose
    -0.60
     Sod
    -0.59
    Adds
    -0.58
     Depression
    -0.58
    Cos
    -0.57
    POSITIVE LOGITS
     ensued
    0.95
     arose
    0.88
     flowed
    0.84
     prevailed
    0.81
     resumed
    0.79
     sprang
    0.76
     emerged
    0.74
     arises
    0.74
     surged
    0.73
     crept
    0.73
    Activations Density 0.363%

    No Known Activations