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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14820
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    Explanations

    proper nouns, specifically names of places and entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to places, political parties, and significant individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     misdemeanor
    -0.91
     NAACP
    -0.85
     statewide
    -0.83
     Boone
    -0.82
     nonprofits
    -0.81
     Wyoming
    -0.81
    Iowa
    -0.79
     felony
    -0.79
     feds
    -0.78
     Spokane
    -0.77
    POSITIVE LOGITS
    alys
    1.20
     analys
    1.03
     recognise
    1.03
    avour
    1.02
     analyse
    0.98
     Whilst
    0.97
     mould
    0.94
     organisers
    0.94
     organise
    0.93
     metre
    0.92
    Activations Density 0.825%

    No Known Activations