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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. 4-RES-JB
    11. 768
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    Explanations

    terms related to large-scale events or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to mass-related events or actions, particularly involving the word "mass" and its derivatives

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

    No Comments

    Negative Logits
    ĪĴ
    -0.83
    ħĭ
    -0.67
     Aires
    -0.67
    */(
    -0.65
    ĵĺ
    -0.62
     esc
    -0.59
     ''
    -0.59
    acles
    -0.58
    imaru
    -0.57
     peg
    -0.56
    POSITIVE LOGITS
    luster
    0.78
    ————
    0.75
    ãĤ¼ãĤ¦ãĤ¹
    0.73
    achusetts
    0.72
    hesive
    0.65
     agric
    0.65
    ensual
    0.63
    usions
    0.63
    erences
    0.63
    aucuses
    0.63
    Activations Density 0.100%

    No Known Activations