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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15802
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    Explanations

    negative actions and situations involving people

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional states and responses to conflict

    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
    ãĤ´ãĥ³
    -1.07
    BuyableInstoreAndOnline
    -0.92
     nostalg
    -0.82
    olkien
    -0.80
     Flavoring
    -0.78
     Tolkien
    -0.77
    atari
    -0.74
     Achievements
    -0.73
    optim
    -0.73
    iscover
    -0.73
    POSITIVE LOGITS
     tresp
    1.24
     robbery
    1.24
     cops
    1.22
     burglary
    1.21
    police
    1.18
     gunshots
    1.15
     handcuffs
    1.14
     SWAT
    1.14
     handcuffed
    1.14
     burgl
    1.13
    Activations Density 0.659%

    No Known Activations