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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. 3-RES-JB
    11. 17904
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    Explanations

    mentions of specific goals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to objectives or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.74
    Versions
    -0.70
    Luck
    -0.65
    ols
    -0.65
    Python
    -0.63
     Geological
    -0.62
    uggage
    -0.62
     jaws
    -0.62
    PASS
    -0.62
    Pass
    -0.61
    POSITIVE LOGITS
     Goal
    0.93
    Goal
    0.86
     goal
    0.85
    posts
    0.84
    goal
    0.83
    nels
    0.77
    lessly
    0.75
    gha
    0.73
     pursued
    0.73
     kicker
    0.72
    Activations Density 0.030%

    No Known Activations