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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. 7-RES-JB
    6. 23269
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    Explanations

    terms related to purchasing items in large quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to bulk purchasing or collection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.77
     Apostles
    -0.65
     Judges
    -0.65
    href
    -0.64
    pires
    -0.63
    abama
    -0.63
    endants
    -0.62
     Commissioners
    -0.62
     Schools
    -0.61
     Wiley
    -0.61
    POSITIVE LOGITS
    heads
    0.89
     bulk
    0.84
    ier
    0.81
    head
    0.80
    iest
    0.74
    ayer
    0.74
    haul
    0.73
    shaw
    0.73
     haul
    0.73
    iness
    0.72
    Activations Density 0.023%

    No Known Activations