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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. 4-RES-JB
    11. 4441
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    Explanations

    phrases related to movement or relocation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to movement or changes in location

    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
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    No Comments

    Negative Logits
     Brach
    -0.75
     Digest
    -0.65
    Truth
    -0.65
     Bucc
    -0.64
    COMPLE
    -0.63
    OTT
    -0.62
     downed
    -0.62
     Huck
    -0.61
    SourceFile
    -0.60
    MN
    -0.60
    POSITIVE LOGITS
     furthe
    0.83
    raviolet
    0.82
    rients
    0.79
    izont
    0.79
    phasis
    0.78
    adders
    0.78
    izons
    0.77
    renches
    0.77
     closer
    0.77
    enhagen
    0.75
    Activations Density 0.133%

    No Known Activations