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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. 5052
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    INDEX
    Explanations

    words related to technical specifications or attributes, such as product features or ingredients

    oai_token-act-pair · gpt-3.5-turbo

    references to sexually explicit content

    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
    Reviewer
    -1.04
    Downloadha
    -0.89
    TPPStreamerBot
    -0.78
    GROUND
    -0.75
    phe
    -0.75
    inventoryQuantity
    -0.74
    UGH
    -0.73
    assetsadobe
    -0.73
    HAHAHAHA
    -0.70
     behavi
    -0.70
    POSITIVE LOGITS
    ensions
    1.30
    reme
    1.28
    ract
    1.23
    racted
    1.19
    ension
    1.17
    uple
    1.09
    ractor
    1.09
    raction
    1.05
    ended
    1.03
    ortion
    0.96
    Activations Density 0.012%

    No Known Activations