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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. 2893
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    Explanations

    phrases related to proving or providing evidence for something

    oai_token-act-pair · gpt-3.5-turbo

    references to evidence and concepts related to proof

    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
    BuyableInstoreAndOnline
    -0.76
     ILCS
    -0.74
    nets
    -0.72
     Unsure
    -0.71
    jan
    -0.70
    ieties
    -0.70
     Walters
    -0.68
    bill
    -0.67
     Rout
    -0.67
     Manson
    -0.67
    POSITIVE LOGITS
     validity
    0.87
     accomplishment
    0.82
     legitimacy
    0.81
     authenticity
    0.81
     excellence
    0.77
     rationality
    0.77
     efficacy
    0.77
    independence
    0.75
     neutrality
    0.74
     equival
    0.74
    Activations Density 0.146%

    No Known Activations