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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. 9-RES-JB
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    Explanations

    proper nouns related to specific locations, organizations, or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places, groups, and recognizable entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trump
    -0.75
    true
    -0.75
    ÑĮ
    -0.75
    */(
    -0.74
    ãĤ¨ãĥ«
    -0.73
    bsite
    -0.72
    urnal
    -0.70
    anging
    -0.70
    wikipedia
    -0.70
    depending
    -0.69
    POSITIVE LOGITS
     Productions
    1.37
     Studios
    1.25
     Brewery
    1.18
     Records
    1.13
     Brewing
    1.09
     Tavern
    1.02
     Enterprises
    1.02
     Cafe
    1.00
     Inn
    0.99
     Lounge
    0.98
    Activations Density 0.349%

    No Known Activations