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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. 23530
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    Explanations

    keywords related to preferences and ideals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ideal or preferred conditions

    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
    down
    -0.75
    downs
    -0.72
     Flavoring
    -0.69
    ences
    -0.69
    ells
    -0.69
    ELF
    -0.68
     Cosponsors
    -0.68
    brook
    -0.67
    lv
    -0.65
    lands
    -0.64
    POSITIVE LOGITS
    etheless
    1.10
     ideally
    1.02
     suited
    1.01
     preferably
    0.99
    hedral
    0.90
     practicable
    0.83
     compr
    0.82
     compens
    0.80
    igslist
    0.78
    entimes
    0.78
    Activations Density 0.007%

    No Known Activations