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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. 1-RES-JB
    11. 14123
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    Explanations

    words related to desires or wishes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    activ
    -0.77
    umm
    -0.70
    eding
    -0.69
     Anthem
    -0.68
    byter
    -0.66
    vet
    -0.65
    kay
    -0.65
    pel
    -0.65
    gaard
    -0.64
    carry
    -0.63
    POSITIVE LOGITS
     wanting
    0.89
     mosqu
    0.77
    AME
    0.75
    BuyableInstoreAndOnline
    0.74
    Buyable
    0.73
    CLASSIFIED
    0.73
    reprene
    0.72
     unden
    0.70
    NESS
    0.70
    HAM
    0.68
    Activations Density 0.005%

    No Known Activations