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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. 6-RES-JB
    11. 18714
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    Explanations

    mentions of resorts and activities associated with staying at a resort

    oai_token-act-pair · gpt-3.5-turbo

    mentions of resorts and related establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rod
    -0.76
    APH
    -0.72
    hemat
    -0.72
    yan
    -0.70
    warm
    -0.70
    RP
    -0.66
    ya
    -0.65
     damn
    -0.65
     Verse
    -0.65
    corn
    -0.63
    POSITIVE LOGITS
     resorts
    0.87
     resort
    0.80
    geoning
    0.78
    ulic
    0.76
    ashtra
    0.76
    itous
    0.71
     Resort
    0.70
    reality
    0.70
    urous
    0.69
     Isle
    0.69
    Activations Density 0.024%

    No Known Activations