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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. 3-RES-JB
    11. 13263
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    Explanations

    words related to a particular location, likely related to a pipeline project named "XL" and locations such as Cushing and Port Arthur

    oai_token-act-pair · gpt-3.5-turbo

    words related to pushing or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avis
    -0.71
    ebin
    -0.68
    edom
    -0.67
    elong
    -0.65
    hess
    -0.65
     surv
    -0.63
    rants
    -0.62
     breaker
    -0.62
     Skydragon
    -0.61
    Hug
    -0.61
    POSITIVE LOGITS
     Meadows
    1.01
    ushes
    0.75
    OPLE
    0.72
    aukee
    0.71
    addle
    0.70
     Crusade
    0.69
    ush
    0.69
    ãĤ¦ãĤ¹
    0.67
    ushing
    0.67
     Limbaugh
    0.67
    Activations Density 0.010%

    No Known Activations