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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. 10-RES-JB
    11. 12543
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    INDEX
    Explanations

    phrases expressing desire or intention to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intentions or aspirations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Warning
    -0.91
     Inspection
    -0.78
     Caller
    -0.75
    forcing
    -0.74
     banning
    -0.72
     alarms
    -0.72
     Measures
    -0.72
    76561
    -0.71
     detecting
    -0.70
     excluding
    -0.68
    POSITIVE LOGITS
     pursue
    1.47
     become
    1.40
     earn
    1.39
     marry
    1.38
     retire
    1.34
     succeed
    1.30
     thrive
    1.25
     aspire
    1.25
     participate
    1.23
     dedicate
    1.23
    Activations Density 0.372%

    No Known Activations