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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. 13249
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    Explanations

    data related to pricing and statistics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pricing and economic metrics

    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
    ãĤ¢ãĥ«
    -0.75
    Ô
    -0.71
    Film
    -0.69
    姫
    -0.68
    Clar
    -0.67
    ãĥĥãĥī
    -0.65
    Cart
    -0.65
    SN
    -0.65
    NL
    -0.64
    UC
    -0.64
    POSITIVE LOGITS
     averaging
    0.71
     swaps
    0.66
     pedals
    0.66
     blender
    0.63
     haircut
    0.62
     clash
    0.62
     creep
    0.60
     shaming
    0.58
     OMG
    0.58
     shenanigans
    0.58
    Activations Density 0.384%

    No Known Activations