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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11808
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Converted
    -0.64
     typo
    -0.63
     numerical
    -0.63
     legal
    -0.61
     Happ
    -0.59
     Flavoring
    -0.59
     stray
    -0.59
     outgoing
    -0.58
     alcoholic
    -0.58
     keyword
    -0.58
    POSITIVE LOGITS
    sheets
    1.09
    ings
    1.08
    pieces
    1.07
    otype
    1.05
    aments
    1.04
    piece
    1.03
    ologies
    1.02
    coat
    1.01
    ages
    1.01
    ups
    1.00
    Activations Density 0.769%

    No Known Activations