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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. 4-RES-JB
    11. 17383
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    Explanations

    terms related to a large amount of something coming in or going out

    oai_token-act-pair · gpt-3.5-turbo

    terms related to large movements of people or resources

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

    No Comments

    Negative Logits
    MET
    -0.73
    ovember
    -0.70
    verbs
    -0.65
    Merit
    -0.63
    Ingredients
    -0.63
     Atomic
    -0.62
     hairs
    -0.62
    deen
    -0.62
    tein
    -0.62
    acter
    -0.62
    POSITIVE LOGITS
    eson
    0.91
     influx
    0.90
    naires
    0.88
    naire
    0.84
    ylum
    0.84
     flooding
    0.84
    uating
    0.79
    uge
    0.79
     infl
    0.78
    olon
    0.75
    Activations Density 0.018%

    No Known Activations