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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. 2-RES-JB
    11. 6757
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    Explanations

    mentions of specific people's names along with associated actions

    oai_token-act-pair · gpt-3.5-turbo

    linguistic markers emphasizing speculation or uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ictionary
    -0.53
    ilege
    -0.52
     Mandatory
    -0.51
    edge
    -0.50
    rium
    -0.49
    rollers
    -0.49
    roller
    -0.48
    ittle
    -0.48
    usha
    -0.48
     Defin
    -0.47
    POSITIVE LOGITS
    etheless
    0.66
     apologies
    0.60
     pse
    0.59
    artifacts
    0.58
     boycot
    0.55
     economists
    0.53
    netflix
    0.52
     nonetheless
    0.51
     notwithstanding
    0.50
     preferring
    0.50
    Activations Density 5.084%

    No Known Activations