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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. 13352
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    Explanations

    phrases related to maintenance and management

    oai_token-act-pair · gpt-3.5-turbo

    terms related to maintaining various types of stability or status

    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
    7601
    -0.86
    ots
    -0.75
    apest
    -0.72
    lez
    -0.70
    ̶
    -0.70
    pport
    -0.70
    eger
    -0.69
    lins
    -0.68
    ussen
    -0.68
    és
    -0.66
    POSITIVE LOGITS
     integrity
    1.14
     composure
    1.12
     continuity
    1.07
     momentum
    1.03
     confidentiality
    1.01
     foothold
    1.00
     vigilance
    0.97
     facade
    0.97
     innocence
    0.97
     secrecy
    0.96
    Activations Density 0.226%

    No Known Activations