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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. 16324
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    Explanations

    mentions of or related to guests at an event or establishment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of guests or visitors in various contexts

    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
     Skydragon
    -0.71
    nces
    -0.68
    legraph
    -0.66
    put
    -0.65
     Campaign
    -0.64
    ccording
    -0.63
    ocus
    -0.63
    uilt
    -0.62
    66666666
    -0.61
     concerted
    -0.61
    POSITIVE LOGITS
     guests
    1.41
     Guests
    1.25
    DragonMagazine
    0.97
     guest
    0.95
    esses
    0.91
    Redditor
    0.86
     accommodations
    0.81
     Guest
    0.80
    maid
    0.79
    Reviewer
    0.78
    Activations Density 0.009%

    No Known Activations