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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. 7-RES-JB
    11. 9335
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    Explanations

    details or descriptions of various events or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing details and specifics in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.76
    irl
    -0.75
    sters
    -0.72
    entimes
    -0.71
    Creat
    -0.71
    elaide
    -0.67
    ools
    -0.67
    aspers
    -0.66
    imum
    -0.65
    frog
    -0.65
    POSITIVE LOGITS
     how
    0.87
     detail
    0.80
     specifics
    0.79
     details
    0.79
     HOW
    0.75
     negotiations
    0.73
     RAID
    0.71
     particulars
    0.70
     procedures
    0.70
     redacted
    0.70
    Activations Density 0.157%

    No Known Activations