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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. 467
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to biological concepts and their implications

    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
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    Negative Logits
     throats
    -0.47
    ©¶æ
    -0.46
    anooga
    -0.43
    ãĥł
    -0.42
     deems
    -0.41
    osity
    -0.41
     slept
    -0.40
     swore
    -0.40
     sovere
    -0.40
     conqu
    -0.39
    POSITIVE LOGITS
    NetMessage
    0.56
     Pwr
    0.52
    versely
    0.50
    minist
    0.49
    veland
    0.47
     alot
    0.44
    earable
    0.44
    erala
    0.43
     quite
    0.42
     fascinating
    0.42
    Activations Density 4.902%

    No Known Activations