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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. 6-RES-JB
    11. 686
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    Explanations

    instances where someone is being described or mentioned in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and references to actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earch
    -0.58
    iership
    -0.54
    TPPStreamerBot
    -0.52
    ËĪ
    -0.52
    =""
    -0.51
    EngineDebug
    -0.50
    ="#
    -0.49
    ="/
    -0.49
    ocobo
    -0.49
    ̶
    -0.49
    POSITIVE LOGITS
     latter
    0.65
    stairs
    0.61
    rek
    0.55
     appalled
    0.55
     irony
    0.53
     capt
    0.52
    sequently
    0.51
     Later
    0.51
    Later
    0.50
     Victims
    0.50
    Activations Density 0.717%

    No Known Activations