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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. 8-RES-JB
    11. 8587
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    Explanations

    descriptions or discussions related to urban environments, planning, and community issues

    oai_token-act-pair · gpt-3.5-turbo

    references to urban development and planning issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Elijah
    -0.69
    quote
    -0.69
    actly
    -0.68
    \\\\\\\\
    -0.67
    ãĤ´
    -0.67
    phrase
    -0.65
    ultimate
    -0.65
    FIN
    -0.65
    tains
    -0.65
    itsch
    -0.63
    POSITIVE LOGITS
     staffed
    1.23
     clustered
    1.14
     prolifer
    1.12
     operated
    1.02
     populated
    1.00
     neighbourhoods
    0.96
     sprung
    0.94
     interconnected
    0.93
     havens
    0.93
     collectively
    0.90
    Activations Density 0.827%

    No Known Activations