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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. 12658
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    Explanations

    descriptions of urban development projects

    oai_token-act-pair · gpt-3.5-turbo

    details about urban development projects

    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
     inconsist
    -0.86
     inconsistency
    -0.82
     inconsistent
    -0.80
     behavior
    -0.76
    behavior
    -0.76
    entimes
    -0.75
     behaviors
    -0.74
    Sexual
    -0.74
     Counsel
    -0.74
     stale
    -0.73
    POSITIVE LOGITS
     redevelopment
    1.25
     redevelop
    1.19
     refurb
    1.15
     skyline
    1.11
     renovations
    1.09
     skysc
    1.09
     unveiling
    1.08
     inaug
    1.08
     envis
    1.07
     futuristic
    1.06
    Activations Density 0.722%

    No Known Activations