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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the word "cluster"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cluster" and its variations, highlighting discussions around clusters in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tions
    -0.70
    phies
    -0.69
    */(
    -0.68
    esty
    -0.67
    hran
    -0.66
    Marginal
    -0.64
    estamp
    -0.64
    inez
    -0.64
    isconsin
    -0.63
    olphins
    -0.63
    POSITIVE LOGITS
     cluster
    1.22
     clusters
    1.06
    fuck
    0.98
     bom
    0.91
     Cluster
    0.74
     clustered
    0.73
     capacitor
    0.73
     grouping
    0.72
     filler
    0.72
     weaving
    0.72
    Activations Density 0.006%

    No Known Activations