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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 10946
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    Explanations

    references to a physical bar or related settings

    oai_token-act-pair · gpt-3.5-turbo

    references to bars in various contexts

    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
    lihood
    -0.94
    UAL
    -0.86
    IBLE
    -0.81
     wip
    -0.70
    sie
    -0.65
    ãģį
    -0.65
    ibilities
    -0.62
     CVE
    -0.62
     ATK
    -0.61
     Dawkins
    -0.60
    POSITIVE LOGITS
    itone
    1.29
    celona
    1.27
    bell
    1.18
    iatric
    1.12
    bers
    1.08
    raged
    1.07
    becue
    1.04
    onial
    1.03
    bara
    0.99
    code
    0.99
    Activations Density 0.029%

    No Known Activations