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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. 16721
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    Explanations

    phrases related to experiencing or going through various situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "having" in various contexts

    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
    ilty
    -0.68
     Tradable
    -0.61
     Duty
    -0.60
     Means
    -0.60
    MSN
    -0.59
    Availability
    -0.58
    ature
    -0.56
    Reporting
    -0.55
     Posts
    -0.55
    CLOSE
    -0.55
    POSITIVE LOGITS
     trouble
    1.29
     fun
    1.11
     difficulties
    1.10
     difficulty
    1.07
     nightmares
    1.04
     problems
    1.04
     flashbacks
    0.98
     doubts
    0.95
     conversations
    0.92
     troubles
    0.89
    Activations Density 0.105%

    No Known Activations