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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. 15579
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    Explanations

    references to modes of transportation, particularly shuttles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to shuttle services and transportation

    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
     confir
    -0.85
    uria
    -0.85
    uries
    -0.74
    oln
    -0.70
    ertodd
    -0.68
     mathemat
    -0.66
    66666666
    -0.66
    aundering
    -0.65
    ushima
    -0.65
    noxious
    -0.64
    POSITIVE LOGITS
    bay
    0.90
     Challenger
    0.88
     shuttle
    0.86
    fleet
    0.80
    craft
    0.78
    pod
    0.77
     Cruise
    0.76
    pool
    0.75
     Fallon
    0.75
    crow
    0.73
    Activations Density 0.030%

    No Known Activations