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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 12659
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    Explanations

    technical terms related to software and hardware

    oai_token-act-pair · gpt-3.5-turbo

    mentions of software and its specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    natureconservancy
    -0.51
     skelet
    -0.47
     medic
    -0.44
    minist
    -0.42
    mel
    -0.40
    ap
    -0.40
     willful
    -0.39
     corpor
    -0.38
     welf
    -0.38
    neg
    -0.38
    POSITIVE LOGITS
    allery
    0.63
    ividual
    0.58
    glers
    0.50
     "$:/
    0.47
    ãĤ¤ãĥĪ
    0.46
    ĨĴ
    0.46
    ĸļ
    0.45
    ãĤ¡
    0.45
    hower
    0.45
    UGE
    0.45
    Activations Density 0.507%

    No Known Activations