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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. 2543
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    Explanations

    mentions or references to a specific brand or entity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "RT," likely indicating retweets or references to retweeted content

    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
    Not in Any Lists

    No Comments

    Negative Logits
    tained
    -0.66
    actionDate
    -0.66
     Middles
    -0.65
    iasis
    -0.64
    erved
    -0.64
    stract
    -0.63
    âĸĪâĸĪ
    -0.63
     cir
    -0.63
    ,,,,,,,,
    -0.63
    ãĤ©
    -0.61
    POSITIVE LOGITS
     RT
    1.13
    TY
    0.98
    Ãī
    0.90
    RT
    0.85
    BF
    0.80
    irtual
    0.78
    CTV
    0.77
    TE
    0.76
    casters
    0.76
    caster
    0.75
    Activations Density 0.005%

    No Known Activations