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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. 9-RES-JB
    6. 19178
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    Explanations

    words associated with finances or monetary values

    oai_token-act-pair · gpt-3.5-turbo

    references to economic conditions and struggles

    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
    Iter
    -0.63
    jl
    -0.62
    zn
    -0.61
     Stats
    -0.60
    ugi
    -0.60
    kB
    -0.58
    itable
    -0.58
    ctl
    -0.58
    lance
    -0.58
     Stat
    -0.57
    POSITIVE LOGITS
     underneath
    1.26
     beneath
    1.23
     over
    1.19
     under
    1.16
     OVER
    1.14
     between
    1.14
     within
    1.08
     above
    1.08
    within
    1.07
    between
    1.07
    Activations Density 0.233%

    No Known Activations