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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
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    Explanations

    references to the word “Sidney” with varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Sid."

    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
    anwhile
    -0.81
    ãģ£
    -0.73
    è¦ļéĨĴ
    -0.72
    andise
    -0.71
     Doomsday
    -0.70
     Highlander
    -0.69
    naire
    -0.68
    ITNESS
    -0.65
    AIN
    -0.65
    merce
    -0.64
    POSITIVE LOGITS
    eways
    1.24
     Meier
    1.08
    etr
    1.08
    eless
    0.90
     Sid
    0.86
    olph
    0.85
    emy
    0.84
    onis
    0.82
    eway
    0.80
    iple
    0.80
    Activations Density 0.008%

    No Known Activations