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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. 0-RES-JB
    11. 18039
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    INDEX
    Explanations

    spots or locations within a context

    oai_token-act-pair · gpt-3.5-turbo

    references to various "spots" or locations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alogue
    -0.66
     Dictionary
    -0.65
    éŃĶ
    -0.64
    externalActionCode
    -0.63
    ufact
    -0.62
     Controller
    -0.62
    actionDate
    -0.62
    Product
    -0.60
    ystem
    -0.60
     embodied
    -0.60
    POSITIVE LOGITS
     spots
    4.06
     spot
    2.50
     places
    1.83
     Spot
    1.79
     slots
    1.75
    spot
    1.74
     spotting
    1.46
     locations
    1.45
     positions
    1.41
     zones
    1.41
    Activations Density 0.009%

    No Known Activations