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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. 16762
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    INDEX
    Explanations

    comparisons or evaluations based on perception

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express skepticism or challenge perceptions

    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
    anwhile
    -0.86
    "]=>
    -0.83
     Preferred
    -0.76
    etheless
    -0.76
    cised
    -0.76
    ESE
    -0.70
    aughtered
    -0.69
    ardless
    -0.68
     WATCH
    -0.68
    rower
    -0.68
    POSITIVE LOGITS
     daunting
    1.22
     innocuous
    1.15
     trivial
    1.13
     cliché
    1.10
     intimidating
    1.07
     intuitive
    1.06
     insignificant
    1.06
     obvious
    1.05
     simplistic
    1.05
     outlandish
    1.01
    Activations Density 0.194%

    No Known Activations