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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. 24248
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    INDEX
    Explanations

    descriptive words related to sensory experiences such as colors, flavors, aromas, textures, and physical sensations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to sensory experiences and perception

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Eagle
    -0.71
    ĸļ
    -0.66
     towed
    -0.62
     expelled
    -0.61
     Defender
    -0.61
     Rabbit
    -0.60
     Panther
    -0.58
     obese
    -0.58
     Protector
    -0.58
     Shogun
    -0.57
    POSITIVE LOGITS
    abilities
    1.26
    alties
    1.26
    ibilities
    1.23
    ocations
    1.22
    iances
    1.20
    inations
    1.17
    ivities
    1.16
    isms
    1.16
    encies
    1.15
    ings
    1.13
    Activations Density 0.719%

    No Known Activations