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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. 5896
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    Explanations

    phrases related to possession, description, or attribution

    oai_token-act-pair · gpt-3.5-turbo

    legal terminology or references in a specific context

    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
     relaxing
    -0.62
     stranded
    -0.62
     corpus
    -0.61
     boo
    -0.60
     Millennium
    -0.59
     trapped
    -0.57
     rip
    -0.55
    illy
    -0.55
     pensions
    -0.54
     squeeze
    -0.54
    POSITIVE LOGITS
     thereof
    1.98
    oway
    1.63
    language
    1.55
     circumstance
    1.52
    techn
    1.23
    CN
    1.13
    purpose
    1.10
    istrate
    1.07
     thereto
    1.07
    major
    1.02
    Activations Density 0.034%

    No Known Activations