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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1332
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    Explanations

    names of people or entities, particularly surnames

    oai_token-act-pair · gpt-3.5-turbo

    words that are related to names and personal identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ambassadors
    -0.64
     comprom
    -0.62
     horizont
    -0.59
     governors
    -0.56
     locals
    -0.53
     alleg
    -0.53
     patronage
    -0.53
    Materials
    -0.53
     independents
    -0.53
     apex
    -0.52
    POSITIVE LOGITS
     Jr
    0.93
    ovich
    0.85
    chuk
    0.79
    akis
    0.79
     (@
    0.77
    auer
    0.77
     Sr
    0.76
    ich
    0.75
    opoulos
    0.75
    itz
    0.75
    Activations Density 0.415%

    No Known Activations