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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
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    Explanations

    references to parking

    oai_token-act-pair · gpt-3.5-turbo

    references to parking

    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
    Downloadha
    -1.09
    xual
    -0.97
    sonian
    -0.80
    icz
    -0.80
    thritis
    -0.78
    nces
    -0.77
    vous
    -0.76
    ches
    -0.76
    gui
    -0.76
    anson
    -0.76
    POSITIVE LOGITS
     garage
    1.09
    lot
    0.96
     parking
    0.96
    conservancy
    0.90
     attendants
    0.90
     spaces
    0.86
     kios
    0.85
     Parking
    0.83
     brake
    0.83
     booths
    0.80
    Activations Density 0.014%

    No Known Activations