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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11768
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    Explanations

    It's difficult to categorize precisely what Neuron 4 is looking for based on the activations provided, as the concepts associated with "somehow" seem varied and context-dependent

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "somehow."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    io
    -0.65
    sych
    -0.64
    anon
    -0.63
    oft
    -0.63
     COUR
    -0.62
    emies
    -0.61
    ios
    -0.60
     starters
    -0.59
     Prospect
    -0.59
     Techniques
    -0.58
    POSITIVE LOGITS
     somew
    1.15
     magically
    0.88
     somehow
    0.87
     managed
    0.84
    Else
    0.82
     mirac
    0.80
     Detected
    0.73
     unaccount
    0.73
    oping
    0.71
     manage
    0.71
    Activations Density 0.017%

    No Known Activations