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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. 2914
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    Explanations

    verbs related to failing or not achieving a desired outcome

    oai_token-act-pair · gpt-3.5-turbo

    instances of failure or inability to achieve something

    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
    soDeliveryDate
    -1.13
    soType
    -0.73
    mails
    -0.72
    ollah
    -0.72
    itiz
    -0.72
     Units
    -0.71
    isSpecialOrderable
    -0.69
     Definitions
    -0.68
     slurs
    -0.66
     Survivors
    -0.64
    POSITIVE LOGITS
     deceive
    0.87
     replicate
    0.83
     reproduce
    0.80
     satisfy
    0.79
     convince
    0.79
     survive
    0.78
     achieve
    0.78
     resolve
    0.78
     fulfill
    0.78
     imitate
    0.77
    Activations Density 0.192%

    No Known Activations