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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. 4-RES-JB
    11. 15504
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    Explanations

    words and names related to specific individuals (Viktor and Vernon)

    oai_token-act-pair · gpt-3.5-turbo

    names, particularly with a focus on individuals and places associated with political contexts

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

    No Comments

    Negative Logits
    anooga
    -0.84
    lat
    -0.78
    sheet
    -0.76
    hel
    -0.75
    mers
    -0.74
    obe
    -0.74
    lets
    -0.74
    sheets
    -0.73
    ulative
    -0.73
    ades
    -0.72
    POSITIVE LOGITS
     Rudolph
    0.78
    âĸĪ
    0.74
    ected
    0.74
    1963
    0.73
    ````
    0.67
    laus
    0.66
     Sorceress
    0.66
     Staples
    0.65
    ãģ®éŃĶ
    0.65
     Goods
    0.65
    Activations Density 0.032%

    No Known Activations