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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. 13853
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    INDEX
    Explanations

    mentions of specific entities or people

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol, possibly related to a unique formatting style

    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
     condem
    -0.78
    matic
    -0.71
    enegger
    -0.69
    ktop
    -0.66
    uay
    -0.66
    ulative
    -0.66
    raints
    -0.65
    ulators
    -0.64
     misunder
    -0.64
     lapt
    -0.63
    POSITIVE LOGITS
    âĶĢâĶĢ
    1.21
    ï¸ı
    1.10
    âĶĢâĶĢâĶĢâĶĢ
    0.99
    ×Ķ
    0.89
    conom
    0.88
    ×ķ
    0.88
    λ
    0.87
    ishable
    0.84
    jj
    0.82
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.82
    Activations Density 0.269%

    No Known Activations