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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. 2-RES-JB
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    Explanations

    the word "seek" followed by various contexts of seeking

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "seek" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riot
    -0.75
    EStreamFrame
    -0.74
    cious
    -0.68
    latest
    -0.67
    rome
    -0.67
    minus
    -0.67
    ricks
    -0.66
    cens
    -0.66
    heartedly
    -0.65
    dating
    -0.65
    POSITIVE LOGITS
    emouth
    0.88
     seek
    0.81
     seeking
    0.79
    ache
    0.78
     seekers
    0.75
     Canaver
    0.73
    WARD
    0.71
     seeks
    0.71
    lessly
    0.71
     refuge
    0.68
    Activations Density 0.017%

    No Known Activations