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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. 3133
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    Explanations

    phrases indicating determination and commitment to a cause

    oai_token-act-pair · gpt-3.5-turbo

    strong expressions of determination or resolve

    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
    quickShipAvailable
    -0.76
     Modified
    -0.69
     Pict
    -0.68
    FactoryReloaded
    -0.66
     Classification
    -0.65
    ENDED
    -0.65
    URRENT
    -0.64
    SO
    -0.64
    GM
    -0.63
    BuyableInstoreAndOnline
    -0.62
    POSITIVE LOGITS
     gladly
    1.38
     NEVER
    1.22
     never
    1.15
    never
    1.12
     surely
    1.07
     ALWAYS
    1.04
     prevail
    1.02
     punish
    0.98
     forever
    0.97
     continue
    0.96
    Activations Density 0.205%

    No Known Activations