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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. 2644
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    Explanations

    phrases indicating a specific event or situation that is in focus

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "this" and its context

    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
    worms
    -0.72
    icons
    -0.72
    vae
    -0.70
    doms
    -0.67
    ickets
    -0.66
    rh
    -0.64
    nets
    -0.62
    okers
    -0.62
    ãĤ¹ãĥĪ
    -0.62
    pots
    -0.62
    POSITIVE LOGITS
     week
    1.06
     month
    0.96
     year
    0.95
     morning
    0.87
     afternoon
    0.87
     weekend
    0.85
     latest
    0.82
     century
    0.76
     episode
    0.75
     WEEK
    0.75
    Activations Density 0.248%

    No Known Activations