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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. 3-RES-JB
    11. 12470
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    Explanations

    terms related to engraving and marking

    oai_token-act-pair · gpt-3.5-turbo

    words related to engineering and embedding concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.98
     GEAR
    -0.83
    yip
    -0.78
    tera
    -0.75
    Pod
    -0.72
    itarian
    -0.72
    Universal
    -0.68
    PORT
    -0.67
    phia
    -0.65
    PLE
    -0.64
    POSITIVE LOGITS
     eng
    1.07
     emb
    1.00
    ounter
    0.93
     wrinkles
    0.89
    rafted
    0.89
    rave
    0.87
    join
    0.87
    raved
    0.80
     engraved
    0.80
    amel
    0.80
    Activations Density 0.009%

    No Known Activations