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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
    11. 21211
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    Explanations

    phrases related to dining

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dining or meals

    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
    ODUCT
    -0.79
    awaru
    -0.67
    orsi
    -0.67
    ģĸ
    -0.66
    arak
    -0.64
    aido
    -0.64
    ormon
    -0.64
    abies
    -0.60
    olkien
    -0.60
    rican
    -0.60
    POSITIVE LOGITS
    phrine
    1.28
    lla
    1.00
    lli
    0.97
    llo
    0.93
    jad
    0.86
    ine
    0.83
    hart
    0.83
    lihood
    0.80
    ously
    0.78
    lette
    0.71
    Activations Density 0.022%

    No Known Activations