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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. 8-RES-JB
    11. 12655
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    Explanations

    phrases related to time periods, especially the early stages or days of a concept or era

    oai_token-act-pair · gpt-3.5-turbo

    references to the early years or stages of development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _-
    -0.67
    ificent
    -0.64
    channelAvailability
    -0.63
     senseless
    -0.62
     endlessly
    -0.61
     incess
    -0.61
     Reson
    -0.60
     Gleaming
    -0.59
    inis
    -0.59
    issors
    -0.58
    POSITIVE LOGITS
    obl
    0.76
     stages
    0.73
    OTA
    0.72
    backer
    0.71
    nings
    0.71
    opter
    0.70
    onen
    0.67
     adop
    0.67
    warning
    0.66
    edin
    0.65
    Activations Density 0.119%

    No Known Activations