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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. 6-RES-JB
    11. 7883
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    Explanations

    locations, such as specific towns, hospitals, schools, and other named places in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places and people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     facult
    -0.71
    requ
    -0.63
     sugg
    -0.61
     description
    -0.61
    quant
    -0.60
     genetically
    -0.60
    akable
    -0.60
    Inv
    -0.60
     orig
    -0.59
    Activ
    -0.59
    POSITIVE LOGITS
     Valley
    0.97
     Pradesh
    0.97
     City
    0.94
     Peninsula
    0.92
     Township
    0.92
     Island
    0.91
     Town
    0.91
    swick
    0.90
     peninsula
    0.90
     Airport
    0.90
    Activations Density 0.447%

    No Known Activations