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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. 23990
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    Explanations

    names of individuals, particularly last names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or entities related to a legal or administrative context

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ycle
    -0.79
    undai
    -0.73
    bered
    -0.73
    illard
    -0.72
    culosis
    -0.72
    tan
    -0.71
     Thieves
    -0.70
    tle
    -0.68
    arest
    -0.67
    stall
    -0.65
    POSITIVE LOGITS
     Hasan
    0.96
    abis
    0.93
    IELD
    0.85
    EEK
    0.84
     Sack
    0.81
    onne
    0.80
    OUND
    0.79
     Hawkins
    0.79
    AGES
    0.75
    IGHTS
    0.74
    Activations Density 0.016%

    No Known Activations