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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. 10-RES-JB
    11. 23365
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    Explanations

    phrases related to construction and physical labor activities

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases that indicate connections or relationships between concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADVERTISEMENT
    -0.77
    iors
    -0.76
    ORTS
    -0.75
    SPONSORED
    -0.75
    ĨĴ
    -0.71
     arrivals
    -0.69
    >[
    -0.67
    resa
    -0.66
    ONSORED
    -0.66
    blance
    -0.65
    POSITIVE LOGITS
     mortar
    1.30
     brim
    1.06
     stone
    1.05
     scissors
    1.04
     ink
    1.02
     clay
    0.99
     chips
    0.99
     stones
    0.97
     marble
    0.96
     pencil
    0.95
    Activations Density 0.179%

    No Known Activations