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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. 10-RES-JB
    11. 6027
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    Explanations

    technical specifications and product model numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers and specifications typically associated with technology and hardware components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     peeled
    -0.68
     volunt
    -0.65
     snowball
    -0.64
     lawy
    -0.62
    arted
    -0.61
    atories
    -0.61
    astical
    -0.61
    pects
    -0.61
    amount
    -0.60
    selves
    -0.59
    POSITIVE LOGITS
     chipset
    1.05
    XT
    1.04
    DX
    1.04
    XX
    1.03
    LR
    1.03
    DM
    1.00
    PF
    0.99
    BT
    0.98
    MF
    0.98
    AE
    0.98
    Activations Density 0.076%

    No Known Activations