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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. 4-RES-JB
    11. 6903
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    Explanations

    words related to events or actions that happen at a certain point in time

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a progression or outcome over time

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

    No Comments

    Negative Logits
    lua
    -0.80
    atures
    -0.69
    artisan
    -0.66
    yet
    -0.66
    teen
    -0.65
     Crusader
    -0.65
    che
    -0.64
    VK
    -0.63
    emen
    -0.63
    roller
    -0.62
    POSITIVE LOGITS
     culmin
    0.91
     succumb
    0.88
     settle
    0.81
     assimil
    0.80
     succumbed
    0.80
     migrate
    0.79
    icably
    0.79
     succeed
    0.78
     converge
    0.78
     dwind
    0.78
    Activations Density 0.023%

    No Known Activations