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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. 20456
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    Explanations

    phrases related to elaboration or explanation

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles, particularly focusing on action words and expressions of ongoing processes

    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
    umm
    -0.69
    cmp
    -0.68
    ternity
    -0.62
     Mub
    -0.59
    ère
    -0.58
    bet
    -0.56
     praying
    -0.56
    see
    -0.55
     reckon
    -0.55
    OUP
    -0.55
    POSITIVE LOGITS
    redients
    0.90
    tons
    0.86
     Pitch
    0.86
     Advice
    0.78
    HAM
    0.77
     Locations
    0.76
     Thoughts
    0.74
     Than
    0.69
     Homeless
    0.69
     Horror
    0.68
    Activations Density 0.149%

    No Known Activations