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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. 0-RES-JB
    6. 22005
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    Explanations

    verbs associated with pinning or tagging actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being constrained or categorized in some way

    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
     Exp
    -0.80
     dece
    -0.74
     Ether
    -0.72
     NEC
    -0.68
     desert
    -0.67
    acter
    -0.66
     hypocr
    -0.66
    ocr
    -0.66
     atmosphere
    -0.65
     profit
    -0.65
    POSITIVE LOGITS
     pinned
    3.46
     pegged
    2.06
     tagged
    1.80
     tackled
    1.59
     nailed
    1.36
     framed
    1.30
     chained
    1.29
     flagged
    1.27
     tied
    1.25
     clipped
    1.25
    Activations Density 0.043%

    No Known Activations