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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. 13609
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    INDEX
    Explanations

    references to specific names - particularly 'Renault' and 'Riley'

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to automotive brands and notable individuals

    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
    intosh
    -0.87
    estones
    -0.86
    anie
    -0.82
    sworth
    -0.80
    ala
    -0.80
    aneers
    -0.79
    lang
    -0.76
    ocobo
    -0.76
    glers
    -0.75
    anye
    -0.73
    POSITIVE LOGITS
    conn
    0.86
    senal
    0.82
     cooker
    0.75
     Rivals
    0.74
    phrine
    0.72
    ORY
    0.72
     guiActiveUnfocused
    0.70
     Divinity
    0.68
    haps
    0.68
     modem
    0.66
    Activations Density 0.025%

    No Known Activations