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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. 2637
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    INDEX
    Explanations

    infinitive verbs

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desire or intentions

    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
    soever
    -0.68
    rising
    -0.66
    soDeliveryDate
    -0.66
     Returning
    -0.62
     warrants
    -0.61
    packing
    -0.61
     Kinnikuman
    -0.61
    bra
    -0.60
     millenn
    -0.60
    guards
    -0.60
    POSITIVE LOGITS
     emulate
    1.26
     hear
    1.22
     know
    1.19
     maximize
    1.15
     keep
    1.10
     see
    1.09
     preserve
    1.08
     reassure
    1.08
     avoid
    1.05
     minimize
    1.04
    Activations Density 0.117%

    No Known Activations