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

    verbs ending in 'ced'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ced" or related forms, indicating the concept of progression or culmination

    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
     boards
    -0.69
     inventory
    -0.63
     seeker
    -0.62
     motto
    -0.61
     raft
    -0.60
    boats
    -0.59
    ISA
    -0.59
     foremost
    -0.58
     sights
    -0.58
     slash
    -0.58
    POSITIVE LOGITS
    ced
    1.19
    ragon
    1.01
    dit
    0.86
    onian
    0.84
    ped
    0.80
    ces
    0.78
    ares
    0.78
    onite
    0.77
    chini
    0.76
    onent
    0.76
    Activations Density 0.006%

    No Known Activations