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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. 17107
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    Explanations

    phrases related to being aboard a vehicle or vessel

    oai_token-act-pair · gpt-3.5-turbo

    references to being "on board" or "aboard" a vehicle or vessel

    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
    olson
    -0.78
    wig
    -0.73
    zel
    -0.73
    ãĤ¦ãĤ¹
    -0.73
    ku
    -0.70
    女
    -0.69
    attribute
    -0.68
    ãĤ©
    -0.68
    verb
    -0.65
    utenberg
    -0.63
    POSITIVE LOGITS
     HMS
    1.09
     Flight
    1.03
     airplanes
    1.01
     USS
    0.98
     ships
    0.93
     ship
    0.92
    boats
    0.91
    Ship
    0.91
     flights
    0.89
     vessels
    0.89
    Activations Density 0.053%

    No Known Activations