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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. 11-RES-JB
    11. 21458
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    Explanations

    personal pronouns and verbs being used in storytelling or conversation

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĵĺ
    -0.83
     Parables
    -0.75
     abound
    -0.64
     Flavoring
    -0.63
    eatures
    -0.62
    Excellent
    -0.60
     Consider
    -0.59
    ãĥ¼ãĥĨ
    -0.58
     Ensure
    -0.58
     Recent
    -0.58
    POSITIVE LOGITS
     kinda
    1.10
     went
    1.09
     stayed
    1.09
     kept
    1.09
     kind
    1.09
     said
    1.07
     ended
    1.07
     started
    1.07
     blew
    1.06
     didn
    1.06
    Activations Density 0.299%

    No Known Activations