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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. 7-RES-JB
    6. 20908
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    Explanations

    greetings and well wishes

    oai_token-act-pair · gpt-3.5-turbo

    elements of well-wishing and positive sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     remotely
    -0.71
     lesser
    -0.70
     laughable
    -0.68
     remote
    -0.66
     intermediate
    -0.66
     weaker
    -0.65
     deficient
    -0.65
     inadequate
    -0.65
     insufficient
    -0.64
     associations
    -0.63
    POSITIVE LOGITS
    ________________________
    1.08
    ________________
    1.02
    xxxxxxxx
    0.99
    ********************************
    0.99
    <|endoftext|>
    0.98
    =-=-=-=-
    0.97
    EDIT
    0.96
    =-=-=-=-=-=-=-=-
    0.95
    ################################
    0.95
    ****************
    0.94
    Activations Density 0.798%

    No Known Activations