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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. 3-RES-JB
    11. 9430
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    Explanations

    references to telecommunications technology, particularly related to network generations like 5G and technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to 5G technology and related specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lins
    -0.72
     Narc
    -0.68
     association
    -0.58
     Violent
    -0.55
     ENT
    -0.55
    ãĤ©
    -0.54
     Lua
    -0.54
     Cth
    -0.54
    abeth
    -0.54
    Latin
    -0.53
    POSITIVE LOGITS
    ategory
    0.94
    bps
    0.86
    renheit
    0.86
    +,
    0.81
    +.
    0.79
    0200
    0.75
    chev
    0.75
    vantage
    0.74
     apiece
    0.73
    endment
    0.71
    Activations Density 0.207%

    No Known Activations