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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. 4-RES-JB
    11. 13426
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    Explanations

    phrases related to attempts or efforts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express attempts or efforts toward achieving something

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

    No Comments

    Negative Logits
    houses
    -0.87
     Survivors
    -0.74
    busters
    -0.71
     Stru
    -0.69
     Compass
    -0.68
    Fra
    -0.66
    breaks
    -0.65
    soDeliveryDate
    -0.65
    points
    -0.65
    stars
    -0.65
    POSITIVE LOGITS
     emulate
    0.97
     imitate
    0.97
     replicate
    0.97
     penetrate
    0.94
     recreate
    0.92
     deceive
    0.92
     reconcile
    0.92
     interfere
    0.89
     achieve
    0.89
     manipulate
    0.89
    Activations Density 0.101%

    No Known Activations