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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. 2-RES-JB
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    Explanations

    the word "beginning" at high intensity

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "beginning" or starting point in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itsch
    -0.79
    ective
    -0.76
    asca
    -0.73
    aths
    -0.73
    ilty
    -0.69
    irrel
    -0.68
    ules
    -0.68
    onomic
    -0.68
    wiki
    -0.68
    uled
    -0.68
    POSITIVE LOGITS
     anew
    0.84
    nings
    0.78
     stages
    0.77
    externalActionCode
    0.75
    EGIN
    0.75
     ende
    0.71
     beginning
    0.69
     phases
    0.69
    OPLE
    0.68
    ITIES
    0.66
    Activations Density 0.028%

    No Known Activations