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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. 7-RES-JB
    11. 2033
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    Explanations

    phrases related to failure and inability to do something

    oai_token-act-pair · gpt-3.5-turbo

    instances of failure or lack of success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.00
    mails
    -0.79
    soType
    -0.79
    Flo
    -0.71
    rolled
    -0.67
     Printed
    -0.67
    Reader
    -0.66
    lies
    -0.64
     Mayhem
    -0.64
    quickShipAvailable
    -0.63
    POSITIVE LOGITS
     comply
    1.26
     adequately
    1.23
     satisfy
    1.16
     fulfill
    1.15
     heed
    1.13
     resolve
    1.11
     qualify
    1.11
     achieve
    1.10
     grasp
    1.10
     differentiate
    1.08
    Activations Density 0.061%

    No Known Activations