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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. 10-RES-JB
    11. 6028
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    Explanations

    Latin phrases and terms

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to anatomy and physiology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KEN
    -0.83
    DK
    -0.81
     KH
    -0.79
    KING
    -0.76
    OWS
    -0.75
     Blackhawks
    -0.75
    MH
    -0.74
    WIND
    -0.74
    kefeller
    -0.72
    IGHT
    -0.72
    POSITIVE LOGITS
    orem
    1.31
    iae
    1.21
    orum
    1.18
    ibus
    1.16
     qui
    1.12
     nomine
    1.08
     princip
    1.06
    icum
    1.05
     quo
    1.05
     corpus
    1.03
    Activations Density 0.186%

    No Known Activations