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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. 3565
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    Explanations

    phrases related to taking up physical space or time

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measures of space or resources

    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
    ramid
    -0.66
    binding
    -0.61
    anka
    -0.61
    ailing
    -0.61
    Ü
    -0.61
     Married
    -0.61
    luaj
    -0.61
    irens
    -0.61
     Surv
    -0.61
    stice
    -0.61
    POSITIVE LOGITS
     calories
    0.96
     space
    0.96
     minutes
    0.94
     seconds
    0.91
     CPU
    0.88
     resources
    0.88
     precious
    0.84
     milliseconds
    0.82
     chunks
    0.82
     slots
    0.82
    Activations Density 0.194%

    No Known Activations