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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. 10576
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    Explanations

    compound words with a hyphen in the middle

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negative attributes or conditions

    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
     Marketable
    -0.72
     Whedon
    -0.67
     omission
    -0.65
     percept
    -0.65
     circumcised
    -0.64
    İĭ
    -0.62
     CIS
    -0.60
     Tig
    -0.60
     Salvador
    -0.60
     HRC
    -0.60
    POSITIVE LOGITS
    based
    1.32
    level
    1.18
    grown
    1.11
    mounted
    1.08
    goers
    1.06
    specific
    1.03
    sized
    1.02
    derived
    1.01
    building
    1.00
    brew
    1.00
    Activations Density 0.114%

    No Known Activations