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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. 10-RES-JB
    6. 16784
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    INDEX
    Explanations

    letters and symbols, particularly focusing on the character 'ľ'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character "ľ"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     terminals
    -0.72
     manif
    -0.71
     spreads
    -0.68
     positioning
    -0.67
     mounted
    -0.66
     womb
    -0.65
     Instr
    -0.65
     stretching
    -0.65
     tentacles
    -0.65
     clipboard
    -0.65
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.16
    ãĥ³ãĤ¸
    1.13
    à¨
    1.13
    ãĥ¼ãĥ
    1.09
    âĶĢâĶĢ
    1.08
    ãĥ¼ãĥ«
    1.07
    à©
    1.07
    Ñĥ
    1.01
    Ùİ
    1.00
    ãĥ«
    1.00
    Activations Density 0.028%

    No Known Activations