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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. 10666
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    oai_token-act-pair · gpt-3.5-turbo

    references to connected devices and systems

    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
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    Negative Logits
    steen
    -0.80
     Leaves
    -0.67
    Ħ¢
    -0.63
     Refuge
    -0.61
    cheat
    -0.61
    YING
    -0.61
     Ambrose
    -0.60
     concession
    -0.59
    orically
    -0.58
     Klopp
    -0.58
    POSITIVE LOGITS
    icut
    1.19
     dots
    0.93
     Connect
    0.88
    nect
    0.88
    ications
    0.87
    ivity
    0.85
    Connect
    0.84
    connected
    0.84
     connections
    0.83
    icates
    0.82
    Activations Density 0.037%

    No Known Activations