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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. 9252
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    Explanations

    references to elevators

    oai_token-act-pair · gpt-3.5-turbo

    references to elevators and their related components

    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
    nia
    -0.75
    lder
    -0.75
    fulness
    -0.70
    nar
    -0.70
    nesses
    -0.69
    lust
    -0.69
    esson
    -0.68
    ness
    -0.67
    ãģ®éŃĶ
    -0.67
    ned
    -0.67
    POSITIVE LOGITS
     shaft
    1.07
     elevator
    0.99
     pitch
    0.83
     stairs
    0.82
    ysis
    0.81
     hatch
    0.81
     elev
    0.81
     doors
    0.80
    inson
    0.79
     coaster
    0.77
    Activations Density 0.016%

    No Known Activations