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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. 7-RES-JB
    11. 21684
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    Explanations

    phrases related to improvement or advancement

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "improve" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Danish
    -0.66
     Nickel
    -0.66
     Nikon
    -0.65
     Tid
    -0.62
    auri
    -0.62
    agascar
    -0.61
     Ern
    -0.61
     Ibn
    -0.60
    é¾
    -0.60
     HMS
    -0.60
    POSITIVE LOGITS
    ving
    1.41
    ves
    1.11
    ved
    1.06
    vers
    1.05
    aching
    1.02
    ugh
    1.01
    pe
    1.00
    ven
    1.00
    pping
    1.00
    ptions
    0.99
    Activations Density 0.046%

    No Known Activations