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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. 1-RES-JB
    11. 3582
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    Explanations

    phrases related to expedited or accelerated processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to expediency and processes that are expedited

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.87
    corn
    -0.72
    pour
    -0.69
    Fram
    -0.65
     Leaf
    -0.65
     Rove
    -0.63
    LD
    -0.62
     Soda
    -0.62
     Koch
    -0.62
     Dome
    -0.62
    POSITIVE LOGITS
     exped
    1.45
    itions
    0.97
    iency
    0.90
    uations
    0.87
    ient
    0.87
     dilig
    0.86
    itous
    0.86
    ited
    0.85
    aily
    0.85
    itious
    0.84
    Activations Density 0.007%

    No Known Activations