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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. 10-RES-JB
    11. 3462
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    Explanations

    specific items or technologies that are being used or referenced in a given context

    oai_token-act-pair · gpt-3.5-turbo

    references to items or techniques that are utilized in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unexpected
    -0.68
    ihad
    -0.67
     unforeseen
    -0.65
    xious
    -0.65
     uncertain
    -0.64
    inventoryQuantity
    -0.64
     outwe
    -0.63
     spite
    -0.62
    bent
    -0.62
     curiosity
    -0.61
    POSITIVE LOGITS
     used
    0.85
     commonly
    0.81
    illac
    0.77
     Used
    0.77
     employed
    0.76
     onboard
    0.75
     standard
    0.73
     throughout
    0.72
     everywhere
    0.70
     nowadays
    0.68
    Activations Density 0.296%

    No Known Activations