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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. 3569
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    Explanations

    locations or places where events are happening

    oai_token-act-pair · gpt-3.5-turbo

    locations or places mentioned in the text

    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
    thood
    -0.71
    20439
    -0.69
    xit
    -0.65
    VIDIA
    -0.64
    meier
    -0.62
    Gold
    -0.62
    ussian
    -0.61
    DragonMagazine
    -0.60
    emonic
    -0.60
    cale
    -0.60
    POSITIVE LOGITS
     itself
    1.01
     premises
    0.93
     vicinity
    0.90
     perimeter
    0.84
     area
    0.81
     courtyard
    0.80
     site
    0.80
     walls
    0.80
     periphery
    0.79
     precinct
    0.79
    Activations Density 0.266%

    No Known Activations