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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. 0-RES-JB
    11. 2344
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    Explanations

    references to specific individuals living in a certain place

    oai_token-act-pair · gpt-3.5-turbo

    mentions of residents in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.81
    apult
    -0.72
    heses
    -0.66
     DRAG
    -0.65
     Thrust
    -0.64
     Horus
    -0.64
     BOOK
    -0.64
    çī
    -0.63
     Defeat
    -0.63
    ngth
    -0.63
    POSITIVE LOGITS
     resident
    3.68
    resident
    2.19
     residents
    2.14
     Resident
    1.93
     Residents
    1.90
    Residents
    1.73
     residency
    1.51
     homeowner
    1.47
     inhabitants
    1.43
     residence
    1.41
    Activations Density 0.006%

    No Known Activations