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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. 6-RES-JB
    11. 1680
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    Explanations

    terms related to markets and business

    oai_token-act-pair · gpt-3.5-turbo

    references to different markets and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.72
     Drac
    -0.70
     Mountains
    -0.69
    ignt
    -0.68
    ADRA
    -0.67
    ensions
    -0.64
     Chapel
    -0.63
     Alleg
    -0.63
     Banner
    -0.62
    arrass
    -0.62
    POSITIVE LOGITS
    places
    1.43
    eers
    1.28
    hare
    1.19
    eer
    0.92
    place
    0.85
    ele
    0.82
    share
    0.79
    eering
    0.79
     share
    0.77
    wide
    0.76
    Activations Density 0.033%

    No Known Activations