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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. 3050
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    INDEX
    Explanations

    phrases or terms related to pre-planned events or activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "planned."

    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
    upon
    -0.78
    inas
    -0.78
    ienced
    -0.77
    ĪĴ
    -0.77
    inches
    -0.76
    shire
    -0.73
    anca
    -0.72
    ysis
    -0.72
    è£ħ
    -0.72
    gars
    -0.71
    POSITIVE LOGITS
     Parenthood
    1.24
     pregnancies
    0.89
     obs
    0.89
    paren
    0.84
     rollout
    0.81
    escape
    0.78
     gestation
    0.78
     planned
    0.75
     vacations
    0.72
     itiner
    0.72
    Activations Density 0.020%

    No Known Activations