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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. 1-RES-JB
    11. 21226
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    Explanations

    words related to necessity or requirement

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "necessary"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uay
    -0.77
    gie
    -0.75
    ning
    -0.71
    ipl
    -0.71
     Oprah
    -0.67
    mitt
    -0.65
    geon
    -0.64
    uffed
    -0.64
    bing
    -0.64
    rik
    -0.64
    POSITIVE LOGITS
     guiActiveUn
    1.01
     necessary
    0.83
     necessities
    0.80
     precautions
    0.78
     reinforcements
    0.76
     prerequisite
    0.74
     ingred
    0.73
     prec
    0.73
     inflic
    0.72
     prepar
    0.72
    Activations Density 0.015%

    No Known Activations