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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 7650
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    INDEX
    Explanations

    phrases related to requests or requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to demands or requests in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eno
    -0.74
     harmless
    -0.66
    dc
    -0.62
     Hover
    -0.62
    sight
    -0.61
    ho
    -0.60
    wine
    -0.59
     Brush
    -0.59
     Nun
    -0.58
    edit
    -0.58
    POSITIVE LOGITS
     demands
    3.79
     demand
    2.12
     demanded
    1.97
     demanding
    1.84
     requests
    1.65
     pressures
    1.64
     dictates
    1.56
     mandates
    1.53
     promises
    1.52
     desires
    1.45
    Activations Density 0.016%

    No Known Activations