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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. 17894
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to covert activities and secrecy

    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
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    No Comments

    Negative Logits
    ragon
    -0.80
     Pwr
    -0.77
     GOODMAN
    -0.71
     è£ıç
    -0.69
    ð
    -0.68
    alon
    -0.67
    utherland
    -0.67
    udeb
    -0.66
    ENTS
    -0.64
    aign
    -0.64
    POSITIVE LOGITS
     plotting
    0.84
     stash
    0.80
     sneak
    0.76
     ops
    0.75
     annex
    0.75
    arial
    0.70
     whispers
    0.70
     sneaking
    0.69
     cloaked
    0.68
     whispering
    0.67
    Activations Density 0.058%

    No Known Activations