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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. 10-RES-JB
    11. 6226
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    Explanations

    phrases related to actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases questioning actions or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dt
    -0.64
    ules
    -0.63
    aml
    -0.61
    cum
    -0.61
    reet
    -0.61
    ases
    -0.61
    ikers
    -0.61
     Vaj
    -0.60
    und
    -0.60
    shared
    -0.59
    POSITIVE LOGITS
     here
    0.91
     today
    0.83
     lately
    0.82
     now
    0.81
     right
    0.78
     HERE
    0.78
     tonight
    0.77
     wrong
    0.76
     nowadays
    0.75
     RIGHT
    0.75
    Activations Density 0.113%

    No Known Activations