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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. 9-RES-JB
    11. 19612
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    Explanations

    prepositions followed by a specific type of word or phrase

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" and its contexts within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    0000000000000000
    -0.75
     lasted
    -0.70
     shook
    -0.67
     rocked
    -0.65
    soever
    -0.65
    llor
    -0.64
     booted
    -0.64
     fought
    -0.62
    iership
    -0.61
    ugu
    -0.61
    POSITIVE LOGITS
     relation
    1.10
     conjunction
    1.06
     detail
    1.03
    clusions
    1.03
     regards
    1.02
     lieu
    0.96
    appropriate
    0.96
     advance
    0.95
     Chapter
    0.95
    efficiency
    0.94
    Activations Density 0.144%

    No Known Activations