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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. 3-RES-JB
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    Explanations

    mentions of or related to guests in a hospitality context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "guests."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rite
    -0.73
     conflic
    -0.66
     Ecology
    -0.63
     Shotgun
    -0.61
     Skydragon
    -0.60
     Pac
    -0.58
     ERA
    -0.58
    rates
    -0.58
     categ
    -0.57
    itals
    -0.57
    POSITIVE LOGITS
     guests
    1.19
     Guests
    1.07
    hip
    0.84
    cript
    0.84
    DragonMagazine
    0.82
    esses
    0.81
     guest
    0.79
    ele
    0.79
    folk
    0.74
    Redditor
    0.71
    Activations Density 0.011%

    No Known Activations