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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. 6-RES-JB
    6. 8952
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    Explanations

    descriptions of legal or official documents

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal and bureaucratic processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estival
    -0.67
     reckoned
    -0.63
    eers
    -0.55
    hedon
    -0.55
     worshipped
    -0.54
    ovies
    -0.54
    ahime
    -0.51
    iverpool
    -0.51
    %]
    -0.51
    essel
    -0.50
    POSITIVE LOGITS
    ibly
    0.59
     Plaint
    0.58
     Permanent
    0.57
     indemn
    0.57
    tails
    0.57
    lihood
    0.56
     Applicant
    0.55
     discretion
    0.53
     monetary
    0.53
    illy
    0.53
    Activations Density 1.674%

    No Known Activations