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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. 11-RES-JB
    11. 23150
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    Explanations

    references to locations and infrastructure related to transportation and urban planning

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to transportation and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     captcha
    -0.72
    cknow
    -0.69
    Ĥİ
    -0.65
    inav
    -0.64
    ©¶æ
    -0.63
     PAGE
    -0.61
     Genie
    -0.61
     comprom
    -0.61
     Cursed
    -0.60
    generic
    -0.60
    POSITIVE LOGITS
     pilgrims
    1.03
     tourists
    1.00
     visitors
    0.97
     congreg
    0.94
     influx
    0.87
     occupants
    0.86
     fleeing
    0.83
     commuters
    0.80
     commuting
    0.79
     bustling
    0.78
    Activations Density 0.390%

    No Known Activations