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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. 2-RES-JB
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    Explanations

    words related to receiving benefits or advantages

    oai_token-act-pair · gpt-3.5-turbo

    terms related to beneficiaries and the concept of benefiting

    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
    cluding
    -0.65
    clusions
    -0.64
    ãĥ¯ãĥ³
    -0.63
     Hole
    -0.62
    kar
    -0.61
     Leather
    -0.61
    metal
    -0.60
    heat
    -0.60
    apse
    -0.60
    Plot
    -0.59
    POSITIVE LOGITS
     benef
    1.18
    iciary
    1.07
    ornia
    0.98
    doms
    0.92
    benefit
    0.89
     benefiting
    0.88
     beneficiary
    0.87
     Benef
    0.86
    reprene
    0.82
    iants
    0.82
    Activations Density 0.013%

    No Known Activations