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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. 3-RES-JB
    11. 12158
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    Explanations

    locations or place names containing a specific word ('Marion' or 'Marseille')

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or names, particularly those associated with places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.87
    redits
    -0.82
    Pros
    -0.74
    atered
    -0.73
    lasses
    -0.71
    Invalid
    -0.71
    mson
    -0.69
    ORE
    -0.68
    çīĪ
    -0.67
    IOR
    -0.65
    POSITIVE LOGITS
     Sheen
    0.77
     Marse
    0.76
     Send
    0.70
     Phelps
    0.68
     Angeles
    0.68
     Bapt
    0.67
     Hammer
    0.66
    Į
    0.66
    alties
    0.66
     Pleasant
    0.65
    Activations Density 0.013%

    No Known Activations