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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. 0-RES-JB
    11. 20067
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    Explanations

    phrases related to uncommon or specialized terminology

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the suffix "iqu."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     peas
    -0.68
     Robot
    -0.66
     neural
    -0.64
     Bye
    -0.63
     occupational
    -0.60
     las
    -0.59
     Bradford
    -0.58
     pupils
    -0.57
     pine
    -0.57
     Germans
    -0.55
    POSITIVE LOGITS
    iqu
    4.84
    ique
    2.43
    iques
    2.17
    iq
    1.48
    iquid
    1.33
    egu
    1.07
     Liqu
    1.06
    icol
    1.00
    inqu
    0.99
    ico
    0.98
    Activations Density 0.014%

    No Known Activations