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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. 6-RES-JB
    11. 24336
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    Explanations

    phrases indicating a desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express desire or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spawned
    -0.63
     Apart
    -0.63
     looms
    -0.63
     Distribut
    -0.62
     corros
    -0.62
     revol
    -0.61
     costing
    -0.60
     inflamm
    -0.60
     rising
    -0.60
     possessing
    -0.60
    POSITIVE LOGITS
     reiterate
    1.09
     emphasize
    1.08
     clarify
    1.04
     assure
    0.99
     encourage
    0.97
     recreate
    0.97
     introduce
    0.96
     congratulate
    0.96
     emulate
    0.95
     celebrate
    0.95
    Activations Density 0.149%

    No Known Activations