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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. 5193
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    Explanations

    phrases related to community developments and urban planning

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to community improvement and vitality

    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
     Turing
    -0.93
     analys
    -0.92
     interrog
    -0.86
    nikov
    -0.85
     dummy
    -0.84
     scept
    -0.81
     spoilers
    -0.81
     analysed
    -0.79
     pse
    -0.79
    fusc
    -0.79
    POSITIVE LOGITS
     downtown
    1.64
     Downtown
    1.55
    owntown
    1.36
     neighborhood
    1.29
     redevelopment
    1.29
     waterfront
    1.27
     revital
    1.27
     neighborhoods
    1.26
     Northeast
    1.25
     tourism
    1.24
    Activations Density 0.566%

    No Known Activations