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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. 5825
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    INDEX
    Explanations

    mentions of locations and infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    references to infrastructure and public services

    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
     whilst
    -0.70
     realised
    -0.68
     realise
    -0.65
     maths
    -0.64
     civilisation
    -0.62
     colours
    -0.60
     fulfil
    -0.59
     brilliance
    -0.59
     cunt
    -0.59
    isations
    -0.59
    POSITIVE LOGITS
    insured
    0.77
     statewide
    0.73
    Oregon
    0.68
    Alert
    0.68
     reimb
    0.67
     insurer
    0.66
     federally
    0.66
     nonprofits
    0.64
    unicip
    0.64
     Oregon
    0.63
    Activations Density 4.663%

    No Known Activations