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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. 7-RES-JB
    6. 22491
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    Explanations

    specific references to office spaces

    oai_token-act-pair · gpt-3.5-turbo

    references to physical locations or entities related to offices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oise
    -0.88
    âķIJâķIJ
    -0.80
    MQ
    -0.75
    theless
    -0.71
    Movie
    -0.70
     Haram
    -0.67
    CHAT
    -0.67
    ICAN
    -0.67
    Interstitial
    -0.67
    ivals
    -0.65
    POSITIVE LOGITS
    holder
    1.19
    holders
    1.18
    tops
    1.03
    room
    0.90
     holder
    0.86
     prosec
    0.83
    mate
    0.81
    person
    0.79
    cle
    0.77
     holders
    0.76
    Activations Density 0.030%

    No Known Activations