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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. 3-RES-JB
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    Explanations

    mentions of specific locations or establishments named "Camp" along with various other contexts like military related references or maybe names

    oai_token-act-pair · gpt-3.5-turbo

    references to "Camp."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     magnification
    -0.72
     regress
    -0.70
    lihood
    -0.66
     groom
    -0.65
    rencies
    -0.64
     platinum
    -0.62
    BLIC
    -0.61
    abeth
    -0.61
     uninsured
    -0.60
     bite
    -0.59
    POSITIVE LOGITS
    agna
    1.10
    camp
    1.09
    ground
    1.05
     Camp
    1.03
    Camp
    1.00
    aign
    1.00
    bell
    0.98
    fires
    0.91
    agne
    0.86
    ovie
    0.85
    Activations Density 0.008%

    No Known Activations