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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. 4-RES-JB
    11. 12172
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    Explanations

    references to places such as resorts

    oai_token-act-pair · gpt-3.5-turbo

    references to resorts and related activities

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

    No Comments

    Negative Logits
    ector
    -0.73
    rod
    -0.72
    older
    -0.69
    yan
    -0.67
    RP
    -0.66
    warm
    -0.65
    hemat
    -0.65
    arkin
    -0.64
    APH
    -0.63
    WIND
    -0.62
    POSITIVE LOGITS
     resorts
    0.95
     resort
    0.95
    geoning
    0.84
     Resort
    0.80
    ashtra
    0.77
    reality
    0.74
     therap
    0.72
    ulic
    0.71
    olicy
    0.69
    phrine
    0.68
    Activations Density 0.007%

    No Known Activations