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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1840
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    Explanations

    words relating to names

    oai_token-act-pair · gpt-3.5-turbo

    human names or names of individuals related to a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    staking
    -0.85
    tails
    -0.78
    ebted
    -0.76
    cens
    -0.73
     Scare
    -0.73
     conduc
    -0.71
    ãģ®éŃĶ
    -0.70
    enegger
    -0.69
    tailed
    -0.68
    tail
    -0.66
    POSITIVE LOGITS
    mn
    0.76
    ng
    0.76
    rs
    0.76
    ctr
    0.75
    xon
    0.74
    cs
    0.72
    mt
    0.71
    mr
    0.71
    alm
    0.71
    TG
    0.69
    Activations Density 0.192%

    No Known Activations