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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. 2-RES-JB
    11. 17799
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    Explanations

    mentions of specific numerical values related to data storage capacity

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Beir
    -0.77
    amic
    -0.74
    ifice
    -0.73
    anyahu
    -0.71
    arnaev
    -0.70
    erer
    -0.70
    kamp
    -0.68
    ulhu
    -0.65
    uthor
    -0.65
    usalem
    -0.63
    POSITIVE LOGITS
     Machina
    0.78
    76561
    0.76
    DEF
    0.69
    channelAvailability
    0.69
    interrupted
    0.68
     clen
    0.66
    00000000
    0.65
    ovember
    0.64
     edits
    0.63
     itching
    0.62
    Activations Density 0.000%

    No Known Activations