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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. 1-RES-JB
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    Explanations

    programming-related terms and queries, possibly related to databases and functions within systems

    oai_token-act-pair · gpt-3.5-turbo

    references to programming objects and database-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    edIn
    -0.87
     Brach
    -0.80
    Forge
    -0.78
     Franch
    -0.76
     Sacrament
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    eous
    -0.74
     Opportun
    -0.72
    yip
    -0.72
     Ones
    -0.72
    opolis
    -0.71
    POSITIVE LOGITS
     cd
    0.87
     lang
    0.83
     ps
    0.79
     obj
    0.78
     si
    0.76
     es
    0.76
     sher
    0.74
     pc
    0.74
     dc
    0.74
     j
    0.73
    Activations Density 0.036%

    No Known Activations