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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 8783
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    Explanations

    I'm sorry, I couldn't find a clear pattern in the activations for Neuron 4

    oai_token-act-pair · gpt-3.5-turbo

    expressions of moral beliefs and spiritual concepts

    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
     frontline
    -0.81
    uca
    -0.79
     defund
    -0.74
     freel
    -0.73
    irtual
    -0.72
     streaming
    -0.72
     amnesty
    -0.70
     targeted
    -0.69
     Wallet
    -0.69
     wallets
    -0.68
    POSITIVE LOGITS
    Thus
    1.21
    Therefore
    1.17
    Moreover
    1.09
    Nevertheless
    1.07
    Secondly
    1.06
    Furthermore
    1.05
    However
    1.02
    CONCLUS
    1.02
    Chapter
    1.01
    ³³³³
    1.01
    Activations Density 0.575%

    No Known Activations