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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
    11. 20523
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    INDEX
    Explanations

    references to modes of transportation, particularly shuttles

    oai_token-act-pair · gpt-3.5-turbo

    references to shuttle services

    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
     confir
    -0.83
    uries
    -0.74
    ures
    -0.73
    ettings
    -0.72
    ichita
    -0.71
    ured
    -0.70
     Extrem
    -0.69
    andi
    -0.69
    oln
    -0.68
    uria
    -0.68
    POSITIVE LOGITS
     shuttle
    1.08
    bay
    0.87
     Shuttle
    0.83
     ferry
    0.82
     Cruise
    0.80
     Challenger
    0.77
    fleet
    0.73
     refuel
    0.73
    craft
    0.72
    pod
    0.71
    Activations Density 0.012%

    No Known Activations