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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. 9-RES-JB
    11. 3035
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    Explanations

    phrases related to the completion or achievement of a task or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "get" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     derives
    -0.67
    ively
    -0.64
     depl
    -0.62
    antle
    -0.61
    don
    -0.61
     pecul
    -0.59
    often
    -0.59
    SPONSORED
    -0.59
     imped
    -0.58
    igr
    -0.58
    POSITIVE LOGITS
     rid
    1.21
     acquainted
    0.99
     bored
    0.89
     tired
    0.87
     accustomed
    0.86
     bitten
    0.81
     notified
    0.80
     married
    0.80
     clearance
    0.80
     into
    0.79
    Activations Density 0.108%

    No Known Activations