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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. 5370
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    Explanations

    capitalized words with a length threshold above one

    oai_token-act-pair · gpt-3.5-turbo

    words related to names, particularly names of people or significant characters

    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
     behav
    -0.88
     wide
    -0.79
     iP
    -0.77
     weap
    -0.75
     multip
    -0.69
     neigh
    -0.69
     crypt
    -0.69
     charact
    -0.67
     horr
    -0.67
     subcontract
    -0.67
    POSITIVE LOGITS
    enei
    1.10
    acas
    1.10
    ĸļ士
    1.05
    otti
    1.02
    agos
    1.02
    okane
    1.01
    utenberg
    1.01
    itten
    0.99
    ipers
    0.98
    asio
    0.98
    Activations Density 0.306%

    No Known Activations