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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. 9-RES-JB
    11. 3022
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    Explanations

    references to locations or entities containing the word "Cu" in them

    oai_token-act-pair · gpt-3.5-turbo

    the term "Cupertino" and its variations or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.70
     Turing
    -0.65
     SPD
    -0.61
     Pog
    -0.61
     PID
    -0.61
     Nurs
    -0.61
    lessness
    -0.61
     Across
    -0.61
    nik
    -0.60
     Fract
    -0.60
    POSITIVE LOGITS
    isine
    1.48
    adr
    1.24
    untu
    1.08
    pping
    1.08
    adra
    1.06
    vette
    1.05
    atro
    1.04
    bert
    1.03
    eto
    1.01
    xton
    1.01
    Activations Density 0.033%

    No Known Activations