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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. 2911
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    INDEX
    Explanations

    phrases related to expectations or obligations

    oai_token-act-pair · gpt-3.5-turbo

    normative or expected actions and behaviors

    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
     Finder
    -0.76
    Reviewer
    -0.72
    fortunately
    -0.69
    Reader
    -0.67
     Appears
    -0.66
    lip
    -0.64
    aroo
    -0.64
    river
    -0.63
    DAQ
    -0.62
    clips
    -0.61
    POSITIVE LOGITS
     uphold
    0.87
     behave
    0.86
     be
    0.86
     compensate
    0.84
     stick
    0.83
    ulhu
    0.80
    wered
    0.80
     abide
    0.80
     deflect
    0.80
     steer
    0.79
    Activations Density 0.064%

    No Known Activations