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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. 11-RES-JB
    11. 5097
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    INDEX
    Explanations

    geographical locations and percentages

    oai_token-act-pair · gpt-3.5-turbo

    comparative statistics related to neighborhood affordability in different regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĻ
    -0.73
     endeavour
    -0.72
     diplomacy
    -0.71
     embry
    -0.71
     organising
    -0.70
    mut
    -0.69
     honour
    -0.68
     reintrodu
    -0.68
    nikov
    -0.68
    oti
    -0.67
    POSITIVE LOGITS
     suburbs
    1.42
     counties
    1.39
     metropolitan
    1.33
     metro
    1.30
     median
    1.26
     ZIP
    1.25
     neighborhoods
    1.20
     Median
    1.19
     county
    1.18
     cities
    1.17
    Activations Density 0.403%

    No Known Activations