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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. 24178
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    Explanations

    words related to physical features or actions

    oai_token-act-pair · gpt-3.5-turbo

    variations of the letters associated with specific repetitive sounds or patterns

    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
     Dangerous
    -0.70
     Human
    -0.70
    è£ħ
    -0.65
     Nu
    -0.65
     Rabbit
    -0.64
     Verse
    -0.64
     Cla
    -0.64
     Deity
    -0.64
     Principle
    -0.64
     Pwr
    -0.64
    POSITIVE LOGITS
    alon
    1.04
    utters
    1.04
    airs
    1.02
    atching
    1.00
    ards
    0.99
    ords
    0.98
    aults
    0.98
    akery
    0.98
    alling
    0.96
    urd
    0.95
    Activations Density 0.120%

    No Known Activations