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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. 9498
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    INDEX
    Explanations

    phrases indicating a strong level of commitment or effort towards achieving a goal

    oai_token-act-pair · gpt-3.5-turbo

    references to making efforts or taking actions

    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
    opened
    -0.70
     Flavoring
    -0.69
    Ent
    -0.69
    aten
    -0.68
    Constructed
    -0.68
     Tru
    -0.67
    ipel
    -0.63
     Cth
    -0.63
     Returning
    -0.62
     Bound
    -0.61
    POSITIVE LOGITS
     differently
    0.93
     grunt
    0.76
     offline
    0.72
     deed
    0.68
     administr
    0.67
     ashore
    0.67
     unconsciously
    0.67
     injustice
    0.66
     wrong
    0.65
     unilaterally
    0.64
    Activations Density 0.054%

    No Known Activations