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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
    11. 566
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    Explanations

    words indicating significance or importance

    oai_token-act-pair · gpt-4-turbo

    phrases related to being significant or important in some way

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating surprising facts or noteworthy qualities

    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
    sheets
    -0.54
    dos
    -0.53
     throats
    -0.49
     existed
    -0.48
     Sierra
    -0.48
     facilitates
    -0.47
     sucks
    -0.47
     lasts
    -0.47
     relates
    -0.47
    robe
    -0.46
    POSITIVE LOGITS
    NetMessage
    0.70
    omorphic
    0.65
    actly
    0.62
    urated
    0.61
    versely
    0.58
    lier
    0.56
     Geh
    0.54
     enough
    0.53
    cerned
    0.53
    roud
    0.53
    Activations Density 3.607%

    No Known Activations