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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. 1-RES-JB
    6. 3024
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    INDEX
    Explanations

    mentions of the term "IGN" with varying degrees of detail and context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the organization or brand "IGN"

    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
     Maid
    -0.72
    zynski
    -0.69
     Sask
    -0.67
    bian
    -0.67
     separatists
    -0.63
    foot
    -0.62
     Nurs
    -0.62
     Kenyan
    -0.62
     wings
    -0.62
     Finnish
    -0.62
    POSITIVE LOGITS
     IGN
    1.35
    IGN
    0.98
    VERTISEMENT
    0.93
    ution
    0.87
    arious
    0.85
    TY
    0.85
    ixel
    0.85
    ORED
    0.85
    ito
    0.83
    uci
    0.83
    Activations Density 0.008%

    No Known Activations