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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. 7-RES-JB
    11. 191
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    Explanations

    phrases related to specific geographical locations, with a particular focus on the District of Columbia

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to "of" and the context of locations or jurisdictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ttp
    -0.93
    tons
    -0.81
    natureconservancy
    -0.79
    zsche
    -0.77
    drm
    -0.72
    hement
    -0.70
     clutch
    -0.69
    ItemTracker
    -0.68
    wcs
    -0.68
    Reviewer
    -0.66
    POSITIVE LOGITS
     Columbia
    0.74
     Richmond
    0.72
     Reyes
    0.72
     Valencia
    0.70
     Commerce
    0.70
     Mariners
    0.68
    -+-+
    0.68
     Reyn
    0.68
     Detail
    0.68
     Detention
    0.67
    Activations Density 0.046%

    No Known Activations