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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. 9-RES-JB
    6. 8439
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    Explanations

    exclamation points

    oai_token-act-pair · gpt-3.5-turbo

    the use of special tokens or delimiters in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manif
    -0.79
    raints
    -0.77
     womb
    -0.75
     challeng
    -0.75
     Instr
    -0.73
     terminals
    -0.71
     philos
    -0.70
     reflex
    -0.70
     symp
    -0.70
     clipboard
    -0.69
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.06
    âĶĢâĶĢ
    1.05
    ãĥ¼ãĥ
    1.02
    ishable
    0.98
    à©
    0.96
    à¨
    0.94
    ãĥ«
    0.94
    Ùİ
    0.93
    ãĥ¼ãĥ«
    0.93
    ãĥ³ãĤ¸
    0.93
    Activations Density 0.039%

    No Known Activations