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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. 6-RES-JB
    11. 4197
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    Explanations

    phrases related to computer networks or networked systems

    oai_token-act-pair · gpt-3.5-turbo

    references to networks, particularly in a technological or organizational context

    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
     Fraz
    -0.73
    orical
    -0.71
    erenn
    -0.68
     Lama
    -0.66
    ruciating
    -0.66
    matter
    -0.64
    ilts
    -0.64
    OPLE
    -0.64
    perty
    -0.64
     Stein
    -0.64
    POSITIVE LOGITS
     networks
    0.97
     network
    0.88
     connectivity
    0.88
     routers
    0.82
     Networks
    0.82
    eers
    0.78
     architectures
    0.77
     Tycoon
    0.76
    ed
    0.76
     connection
    0.75
    Activations Density 0.034%

    No Known Activations