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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. 2-RES-JB
    6. 17600
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    Explanations

    words related to occupations or roles ending with '-er' or '-or'

    oai_token-act-pair · gpt-3.5-turbo

    words that are suffixes commonly associated with occupations or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sembly
    -0.82
     Kund
    -0.66
    imes
    -0.65
     vacant
    -0.64
     woodland
    -0.63
    ntax
    -0.62
     diverse
    -0.61
     Streets
    -0.60
     beaches
    -0.60
    illet
    -0.59
    POSITIVE LOGITS
     extraord
    1.22
    esses
    0.93
     beware
    0.92
    sonian
    0.91
    ess
    0.89
    itatively
    0.88
    friend
    0.85
     Tycoon
    0.83
    maid
    0.83
    rors
    0.80
    Activations Density 0.210%

    No Known Activations