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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
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    Explanations

    phrases related to the Heathrow airport

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Heath" in various contexts

    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
    resents
    -0.81
    uyomi
    -0.77
    awaru
    -0.76
    ãĥ£
    -0.75
    acters
    -0.73
    ebus
    -0.70
    edo
    -0.69
    essee
    -0.69
    ãĥł
    -0.67
    ifier
    -0.66
    POSITIVE LOGITS
     Heath
    0.97
    mare
    0.89
    brook
    0.87
     Slater
    0.84
    row
    0.81
    mares
    0.80
    combe
    0.79
    borough
    0.77
    bum
    0.76
     Led
    0.74
    Activations Density 0.007%

    No Known Activations