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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. 1-RES-JB
    11. 22150
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    Explanations

    mentions of specific names, potentially of people or places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals related to specific events or contexts

    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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    No Comments

    Negative Logits
    ¥µ
    -0.82
    lete
    -0.79
    ĪĴ
    -0.78
    criptions
    -0.76
    bris
    -0.76
     contraceptive
    -0.75
    ITNESS
    -0.74
    ciating
    -0.74
    ple
    -0.73
    forms
    -0.73
    POSITIVE LOGITS
    ucket
    0.81
    odcast
    0.73
    ilitarian
    0.73
    illi
    0.72
    uti
    0.70
     Osw
    0.70
     Gustav
    0.68
     Camden
    0.68
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.68
    ropolitan
    0.67
    Activations Density 0.031%

    No Known Activations