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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. 15826
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    Explanations

    entities or terms containing the string "omm"

    oai_token-act-pair · gpt-3.5-turbo

    words related to "omm" which likely signifies commentary or review content

    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
    ting
    -0.93
    ted
    -0.87
    BOOK
    -0.74
    footed
    -0.71
    animate
    -0.70
     Hindus
    -0.70
    ves
    -0.70
    ching
    -0.70
    draw
    -0.65
     Tibetan
    -0.64
    POSITIVE LOGITS
    orrow
    1.12
    obile
    1.11
    essage
    1.08
    ittee
    1.07
    ission
    1.00
    onsense
    0.95
    itted
    0.94
    useum
    0.90
    endez
    0.89
    essor
    0.88
    Activations Density 0.009%

    No Known Activations