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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. 0-RES-JB
    11. 12842
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    Explanations

    words related to specific locations, particularly street names

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to food, specifically berries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     timeline
    -0.64
     directives
    -0.63
     Hurricane
    -0.62
     spirits
    -0.62
     parameters
    -0.61
     HI
    -0.61
     adjusted
    -0.60
     timelines
    -0.59
     Hawk
    -0.58
     Integ
    -0.56
    POSITIVE LOGITS
    bery
    5.15
    berry
    1.05
    bury
    0.98
    BER
    0.96
    doms
    0.93
    combe
    0.93
    bing
    0.92
    bane
    0.91
    ety
    0.91
    ery
    0.90
    Activations Density 0.016%

    No Known Activations