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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. 23309
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    Explanations

    names of cities and locations

    oai_token-act-pair · gpt-3.5-turbo

    names of cities and geographical locations

    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
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    No Comments

    Negative Logits
    âĢİ
    -0.51
    rament
    -0.49
    ragon
    -0.47
     Endless
    -0.46
     ABE
    -0.46
    gaard
    -0.45
    ista
    -0.44
    Ã
    -0.44
    chester
    -0.42
    erion
    -0.41
    POSITIVE LOGITS
     dilig
    0.48
    bleacher
    0.47
     tradem
    0.45
    Spread
    0.42
     unden
    0.41
    estern
    0.41
     concess
    0.41
    etheless
    0.40
    asin
    0.40
    channelAvailability
    0.40
    Activations Density 2.291%

    No Known Activations