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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. 23098
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    Explanations

    phrases related to actions and capabilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditional situations or consequences

    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
    raft
    -0.77
    ¯
    -0.73
    mx
    -0.71
    ode
    -0.67
    neg
    -0.65
    owl
    -0.64
    dds
    -0.64
    uga
    -0.63
    sav
    -0.63
    MSN
    -0.62
    POSITIVE LOGITS
     accordingly
    1.04
     thereafter
    0.90
     alike
    0.72
     consequently
    0.70
     consequ
    0.67
     advoc
    0.66
     notor
    0.66
     reused
    0.66
     afterwards
    0.65
     thereof
    0.64
    Activations Density 0.808%

    No Known Activations