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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18081
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    INDEX
    Explanations

    words related to perception and judgment of emotions and actions as well as reality-related terms

    oai_token-act-pair · gpt-3.5-turbo

    expressions of subjective perceptions or feelings about individuals

    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
     Scrib
    -0.74
    ribution
    -0.71
     Combine
    -0.69
    aturdays
    -0.67
    ipop
    -0.66
    zb
    -0.65
     Prel
    -0.63
    igslist
    -0.63
    VIDIA
    -0.62
    ierra
    -0.61
    POSITIVE LOGITS
     eager
    1.18
     reluctant
    1.15
     oblivious
    1.11
     hesitant
    1.10
     unsure
    1.07
     unwilling
    1.07
     nervous
    1.06
     poised
    1.06
     willing
    1.04
     fascinated
    1.03
    Activations Density 0.086%

    No Known Activations