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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. 9-RES-JB
    11. 5339
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    Explanations

    phrases related to movement or change

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating movement, progression, or current states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igmat
    -0.66
    trak
    -0.60
    arrass
    -0.60
    rak
    -0.59
    oret
    -0.56
    izo
    -0.56
    aii
    -0.55
    Í
    -0.55
    aple
    -0.55
     haz
    -0.54
    POSITIVE LOGITS
    etheless
    0.80
    behind
    0.75
    ¬¼
    0.67
     hence
    0.66
    pite
    0.65
    terday
    0.61
     Election
    0.59
    ovember
    0.58
     emerge
    0.58
     nights
    0.58
    Activations Density 0.318%

    No Known Activations