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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
    11. 6901
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    INDEX
    Explanations

    words related to deviations from what is considered typical or expected

    oai_token-act-pair · gpt-3.5-turbo

    the word "normal" in various contexts

    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
    haw
    -0.77
    NRS
    -0.75
    âĵĺ
    -0.75
    hop
    -0.74
    asso
    -0.72
     Starship
    -0.72
    Produ
    -0.71
    hire
    -0.68
    rift
    -0.68
    Lens
    -0.68
    POSITIVE LOGITS
    isation
    1.11
    ization
    1.07
    izes
    1.04
    cy
    1.03
    ised
    1.00
    izations
    1.00
    izing
    0.96
    ises
    0.94
    ize
    0.92
    isations
    0.91
    Activations Density 0.011%

    No Known Activations