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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. 15860
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    Explanations

    adverbs enhancing the completeness or intensity of an action or state

    oai_token-act-pair · gpt-3.5-turbo

    the word "completely" and its variations, indicating a focus on totality or absoluteness in context

    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
    pring
    -0.78
    mere
    -0.73
    maid
    -0.72
    osi
    -0.71
    rers
    -0.69
    yer
    -0.69
     Springs
    -0.67
    ourses
    -0.65
    yip
    -0.64
    iture
    -0.64
    POSITIVE LOGITS
     disreg
    0.91
     disregard
    0.90
     oblivious
    0.89
     unprepared
    0.87
     obliter
    0.86
     devoid
    0.86
     revamped
    0.85
     ignored
    0.85
     unaware
    0.85
     divorced
    0.84
    Activations Density 0.040%

    No Known Activations